---
title: "From Persona to Personalization — Chen 2024"
description: "This survey organizes the fast-growing research on Role-Playing Language Agents (RPLAs), which are LLM-based systems that take on an assigned persona."
authors: ["Jiangjie Chen", "Xintao Wang", "Rui Xu", "Siyu Yuan", "Yikai Zhang", "Wei Shi", "Jian Xie", "Shuang Li", "Ruihan Yang", "Tinghui Zhu", "Aili Chen", "Nianqi Li", "Lida Chen", "Caiyu Hu", "Siye Wu", "Scott Ren", "Ziquan Fu", "Yanghua Xiao"]
year: 2024
venue: "arXiv:2404.18231"
source: "https://arxiv.org/abs/2404.18231"
doi: "10.48550/arxiv.2404.18231"
arxiv: "2404.18231"
licence: "CC BY-SA 4.0 (arXiv)"
licence_url: "http://creativecommons.org/licenses/by-sa/4.0/"
summary_licence: "Elamur Cosmic License"
canonical: "https://research.elamur.ai/free/en/papers/chen-2024-persona-personalization-survey-role-playing/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/chen-2024-persona-personalization-survey-role-playing/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [2024](https://md.research.elamur.ai/free/en/papers/2024/page/3/) / From Persona to Personalization: A Survey on Role-Playing Language Agents

# From Persona to Personalization: A Survey on Role-Playing Language Agents

**Authors:** [Jiangjie Chen](https://md.research.elamur.ai/free/en/authors/jiangjie-chen/), Xintao Wang, Rui Xu, Siyu Yuan, [Yikai Zhang](https://md.research.elamur.ai/free/en/authors/yikai-zhang/), [Wei Shi](https://md.research.elamur.ai/free/en/authors/wei-shi/), [Jian Xie](https://md.research.elamur.ai/free/en/authors/jian-xie/), [Shuang Li](https://md.research.elamur.ai/free/en/authors/shuang-li/), Ruihan Yang, Tinghui Zhu, Aili Chen, Nianqi Li et al. (18 authors) · **Year:** 2024 · **Venue:** arXiv:2404.18231 · **Licence:** [CC BY-SA 4.0 (arXiv)](http://creativecommons.org/licenses/by-sa/4.0/)

**Links:** [Publisher's page](https://arxiv.org/abs/2404.18231) · [PDF](https://arxiv.org/pdf/2404.18231) · [DOI 10.48550/arxiv.2404.18231](https://doi.org/10.48550/arxiv.2404.18231) · [arXiv 2404.18231](https://arxiv.org/abs/2404.18231) · [OpenAlex](https://openalex.org/W4396820243)

**Citations:** 14 citations (OpenAlex, 2026-10-14) · [100](https://md.research.elamur.ai/free/en/papers/chen-2024-persona-personalization-survey-role-playing/cited-by/) in our library, of the 140884 papers whose bibliographies we read

## Summary
This survey organizes the fast-growing research on Role-Playing Language Agents (RPLAs), which are LLM-based systems that take on an assigned persona. It also links that research to commercial products. The authors are mostly from Fudan University. They argue that emerged LLM abilities make convincing role-play feasible: in-context learning, instruction following, step-by-step reasoning and social intelligence. Their main contribution is a taxonomy of three progressively more personalized persona types:
- demographic groups, which rely on stereotypes the model absorbed statistically;
- well-known characters, both real and fictional;
- individualized profiles that evolve from a specific user's data.

For each type, the survey reviews where the data comes from, how agents are built and how they are evaluated. It then covers risks such as toxicity, bias, misuse and over-anthropomorphism. Next it discusses limitations, including long-context handling and knowledge gaps, and outlines future work. An appendix reviews RPLA products on the market. The work matters as a structured map of a fragmented field, applications ranging from companions and games to copilots and digital clones.

## Key points
- The three persona types are **Demographic Persona** (e.g., occupations, Gen Z, introverts/ENFJ), **Character Persona** (e.g., Napoleon, Batman, Elon Musk) and **Individualized Persona** (e.g., travel or shopping copilots built from behavior history).
- The types can be layered in one agent. For example, a Socrates-style philosophy tutor combines a demographic role (ancient Greek philosopher), a character (Socrates) and a user-adapted profile.
- Risks discussed include toxicity, bias and misuse. The authors also warn that over-reliance on RPLAs may lead to social isolation and to manipulation of public opinion by agents that conceal they are AI.
- The authors propose four future directions: causal data analysis for decisions, better-than-imitation decision-making, RPLAs as personal assistants, and autonomous social simulation.
- The paper is arXiv:2404.18231 (v2, Oct 2024) and was reviewed on OpenReview. Appendix A covers RPLA products currently on the market.

*Our summary of the paper, in our own words — not its text. The work belongs to its authors; read it at the links above.*

Fields: [Natural language processing](https://md.research.elamur.ai/free/en/shelves/nlp/) · [AI & machine learning](https://md.research.elamur.ai/free/en/shelves/ai/)

## Institutions

- [Fudan University](https://md.research.elamur.ai/free/en/universities/fudan-university/) — University, Shanghai, China · 45 works · 16 344 citations
- [University of California, Santa Barbara](https://md.research.elamur.ai/free/en/universities/university-of-california-santa-barbara/) — University, Santa Barbara, United States · 24 works · 7 888 citations
- [Wuhan University](https://md.research.elamur.ai/free/en/universities/wuhan-university/) — University, Wuhan, China · 5 works · 340 citations
- [Shanghai University](https://md.research.elamur.ai/free/en/universities/shanghai-university/) — University, Shanghai, China · 2 works · 114 citations

## Cite

The paper itself, not this page. BibTeX from the library's record of the work.

```bibtex
@misc{chen2024persona,
  title = {{From Persona to Personalization: A Survey on Role-Playing Language Agents}},
  author = {Chen, Jiangjie and Wang, Xintao and Xu, Rui and Yuan, Siyu and Zhang, Yikai and Shi, Wei and Xie, Jian and Li, Shuang and Yang, Ruihan and Zhu, Tinghui and Chen, Aili and Li, Nianqi and Chen, Lida and Hu, Caiyu and Wu, Siye and Ren, Scott and Fu, Ziquan and Xiao, Yanghua},
  year = {2024},
  doi = {10.48550/arxiv.2404.18231},
  eprint = {2404.18231},
  archivePrefix = {arXiv},
  url = {https://doi.org/10.48550/arxiv.2404.18231}
}
```

- [← previous Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language Capabilities](https://md.research.elamur.ai/free/en/papers/fujii-2024-continual-pre-training-cross-lingual/)
- [next → Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models](https://md.research.elamur.ai/free/en/papers/wu-2024-inference-scaling-laws-empirical-analysis/)
- [↑ back to papers of 2024](https://md.research.elamur.ai/free/en/papers/2024/page/3/)

## References

297 references, 61 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

1. Mahyar Abbasian, Iman Azimi, Amir M Rahmani, and Ramesh Jain. Conversational health agents: A personalized llm-powered agent framework. arXiv preprint arXiv:2310.02374, 2023. — [arXiv:2310.02374](https://arxiv.org/abs/2310.02374) [find](https://scholar.google.com/scholar?q=Mahyar+Abbasian%2C+Iman+Azimi%2C+Amir+M+Rahmani%2C+and+Ramesh+Jain%2E+Conversational+health+agents%3A+A+personalized+llm%2Dpowered+agent+framework%2E+arXiv+preprint+arXiv%3A2310%2E02374%2C+2023%2E+%E2%80%94+%5BarXiv%3A2310%2E02374%5D%28http)
2. Harsh Agrawal, Aditya Mishra, Manish Gupta, et al. Multimodal persona based generation of comic dialogs. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 14150–14164, 2023. [find](https://scholar.google.com/scholar?q=Harsh+Agrawal%2C+Aditya+Mishra%2C+Manish+Gupta%2C+et+al%2E+Multimodal+persona+based+generation+of+comic+dialogs%2E+In+Proceedings+of+the+61st+Annual+Meeting+of+the+Association+for+Computational+Linguistics+%28Vol)
3. Jaewoo Ahn, Yeda Song, Sangdoo Yun, and Gunhee Kim. MPCHAT: Towards multimodal persona-grounded conversation. In Anna Rogers, Jordan Boyd-Graber, and Naoaki Okazaki (eds.), Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 3354–3377,… [find](https://scholar.google.com/scholar?q=Jaewoo+Ahn%2C+Yeda+Song%2C+Sangdoo+Yun%2C+and+Gunhee+Kim%2E+MPCHAT%3A+Towards+multimodal+persona%2Dgrounded+conversation%2E+In+Anna+Rogers%2C+Jordan+Boyd%2DGraber%2C+and+Naoaki+Okazaki+%28eds%2E%29%2C+Proceedings+of+the+61st+Ann)
4. Jaewoo Ahn, Taehyun Lee, Junyoung Lim, Jin-Hwa Kim, Sangdoo Yun, Hwaran Lee, and Gunhee Kim. TimeChara: Evaluating point-in-time character hallucination of role-playing large language models. In Lun-Wei Ku, Andre Martins, and Vivek Srikumar (eds.), Findings of the Association for Computational Lingu… [find](https://scholar.google.com/scholar?q=Jaewoo+Ahn%2C+Taehyun+Lee%2C+Junyoung+Lim%2C+Jin%2DHwa+Kim%2C+Sangdoo+Yun%2C+Hwaran+Lee%2C+and+Gunhee+Kim%2E+TimeChara%3A+Evaluating+point%2Din%2Dtime+character+hallucination+of+role%2Dplaying+large+language+models%2E+In+Lun%2DW)
5. Uri Alon, Frank Xu, Junxian He, Sudipta Sengupta, Dan Roth, and Graham Neubig. Neuro-symbolic language modeling with automaton-augmented retrieval. In International Conference on Machine Learning, pp. 468–485. PMLR, 2022. [find](https://scholar.google.com/scholar?q=Uri+Alon%2C+Frank+Xu%2C+Junxian+He%2C+Sudipta+Sengupta%2C+Dan+Roth%2C+and+Graham+Neubig%2E+Neuro%2Dsymbolic+language+modeling+with+automaton%2Daugmented+retrieval%2E+In+International+Conference+on+Machine+Learning%2C+pp%2E)
6. Cem Anil, Esin Durmus, Mrinank Sharma, Joe Benton, Sandipan Kundu, Joshua Batson, Nina Rimsky, Meg Tong, Jesse Mu, Daniel Ford, et al. Many-shot jailbreaking. Rohan Anil, Andrew M Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhife… [find](https://scholar.google.com/scholar?q=Cem+Anil%2C+Esin+Durmus%2C+Mrinank+Sharma%2C+Joe+Benton%2C+Sandipan+Kundu%2C+Joshua+Batson%2C+Nina+Rimsky%2C+Meg+Tong%2C+Jesse+Mu%2C+Daniel+Ford%2C+et+al%2E+Many%2Dshot+jailbreaking%2E+Rohan+Anil%2C+Andrew+M+Dai%2C+Orhan+Firat%2C+Me) [our card](https://md.research.elamur.ai/free/en/papers/anil-2023-palm-2-technical-report/)
7. Anthropic. Model card and evaluations for claude models. 2023a. URL [https://www-files.anthropic.com/production/images/Model-Card-Claude-2.pdf](https://www-files.anthropic.com/production/images/Model-Card-Claude-2.pdf). [↗](https://www-files.anthropic.com/production/images/Model-Card-Claude-2.pdf)
8. Anthropic. Releasing claude instant 1.2. releasing-claude-instant-1-2. 2023b. [find](https://scholar.google.com/scholar?q=Anthropic%2E+Releasing+claude+instant+1%2E2%2E+releasing%2Dclaude%2Dinstant%2D1%2D2%2E+2023b%2E)
9. URL [https://www.anthropic.com/index/Anthropic](https://www.anthropic.com/index/Anthropic). The claude 3 model family: Opus, sonnet, haiku, 2024. [↗](https://www.anthropic.com/index/Anthropic)
10. Apple Inc. Siri voice-activated assistant, 2024. Personal communication through Apple iPhone. [find](https://scholar.google.com/scholar?q=Apple+Inc%2E+Siri+voice%2Dactivated+assistant%2C+2024%2E+Personal+communication+through+Apple+iPhone%2E)
11. Richard C Atkinson and Richard M Shiffrin. Human memory: A proposed system and its control processes. In Psychology of learning and motivation, volume 2, pp. 89–195. Elsevier, 1968. [find](https://scholar.google.com/scholar?q=Richard+C+Atkinson+and+Richard+M+Shiffrin%2E+Human+memory%3A+A+proposed+system+and+its+control+processes%2E+In+Psychology+of+learning+and+motivation%2C+volume+2%2C+pp%2E+89%E2%80%93195%2E+Elsevier%2C+1968%2E)
12. Jinheon Baek, Nirupama Chandrasekaran, Silviu Cucerzan, Allen Herring, and Sujay Kumar Jauhar. Knowledge-augmented large language models for personalized contextual query suggestion. arXiv preprint arXiv:2311.06318v1, 2023. — [arXiv:2311.06318](https://arxiv.org/abs/2311.06318) [find](https://scholar.google.com/scholar?q=Jinheon+Baek%2C+Nirupama+Chandrasekaran%2C+Silviu+Cucerzan%2C+Allen+Herring%2C+and+Sujay+Kumar+Jauhar%2E+Knowledge%2Daugmented+large+language+models+for+personalized+contextual+query+suggestion%2E+arXiv+preprint+ar)
13. Yuntao Bai, Andy Jones, Kamal Ndousse, Amanda Askell, Anna Chen, Nova DasSarma, Dawn Drain, Stanislav Fort, Deep Ganguli, Tom Henighan, Nicholas Joseph, Saurav Kadavath, Jackson Kernion, Tom Conerly, Sheer El-Showk, Nelson Elhage, Zac Hatfield-Dodds, Danny Hernandez, Tristan Hume, Scott Johnston, Sh… [find](https://scholar.google.com/scholar?q=Yuntao+Bai%2C+Andy+Jones%2C+Kamal+Ndousse%2C+Amanda+Askell%2C+Anna+Chen%2C+Nova+DasSarma%2C+Dawn+Drain%2C+Stanislav+Fort%2C+Deep+Ganguli%2C+Tom+Henighan%2C+Nicholas+Joseph%2C+Saurav+Kadavath%2C+Jackson+Kernion%2C+Tom+Conerly%2C+)
14. Yuntao Bai, Saurav Kadavath, Sandipan Kundu, Amanda Askell, Jackson Kernion, Andy Jones, Anna Chen, Anna Goldie, Azalia Mirhoseini, Cameron McKinnon, et al. Constitutional ai: Harmlessness from ai feedback. arXiv preprint arXiv:2212.08073, 2022b. [find](https://scholar.google.com/scholar?q=Yuntao+Bai%2C+Saurav+Kadavath%2C+Sandipan+Kundu%2C+Amanda+Askell%2C+Jackson+Kernion%2C+Andy+Jones%2C+Anna+Chen%2C+Anna+Goldie%2C+Azalia+Mirhoseini%2C+Cameron+McKinnon%2C+et+al%2E+Constitutional+ai%3A+Harmlessness+from+ai+fee) [our card](https://md.research.elamur.ai/free/en/papers/bai-2022-constitutional-ai-harmlessness-ai-feedback/)
15. Baidu. Qianyan-chinese persona chat dataset. Dataset available from Baidu, 2020. URL [https://www.luge](https://www.luge). ai/\#/luge/dataDetail?id=38. Accessed on 2020-08. [↗](https://www.luge)
16. Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, and Xiangnan He. Tallrec: An effective and efficient tuning framework to align large language model with recommendation, 2023. [find](https://scholar.google.com/scholar?q=Keqin+Bao%2C+Jizhi+Zhang%2C+Yang+Zhang%2C+Wenjie+Wang%2C+Fuli+Feng%2C+and+Xiangnan+He%2E+Tallrec%3A+An+effective+and+efficient+tuning+framework+to+align+large+language+model+with+recommendation%2C+2023%2E)
17. Murray R Barrick and Michael K Mount. The big five personality dimensions and job performance: a meta-analysis. Personnel psychology, 44(1):1–26, 1991. [find](https://scholar.google.com/scholar?q=Murray+R+Barrick+and+Michael+K+Mount%2E+The+big+five+personality+dimensions+and+job+performance%3A+a+meta%2Danalysis%2E+Personnel+psychology%2C+44%281%29%3A1%E2%80%9326%2C+1991%2E)
18. Sandra L Bem. Bem sex role inventory. Journal of personality and social psychology, 1981. [find](https://scholar.google.com/scholar?q=Sandra+L+Bem%2E+Bem+sex+role+inventory%2E+Journal+of+personality+and+social+psychology%2C+1981%2E)
19. Manuela Benary, Xing David Wang, Max Schmidt, Dominik Soll, Georg Hilfenhaus, Mani Nassir, Christian Sigler, Maren Knödler, Ulrich Keller, Dieter Beule, et al. Leveraging large language models for decision support in personalized oncology. JAMA Network Open, 6(11):e2343689–e2343689, 2023. [find](https://scholar.google.com/scholar?q=Manuela+Benary%2C+Xing+David+Wang%2C+Max+Schmidt%2C+Dominik+Soll%2C+Georg+Hilfenhaus%2C+Mani+Nassir%2C+Christian+Sigler%2C+Maren+Kn%C3%B6dler%2C+Ulrich+Keller%2C+Dieter+Beule%2C+et+al%2E+Leveraging+large+language+models+for+dec)
20. Moshe Berchansky, Peter Izsak, Avi Caciularu, Ido Dagan, and Moshe Wasserblat. Optimizing retrieval-augmented reader models via token elimination. In Houda Bouamor, Juan Pino, and Kalika Bali (eds.), Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pp. 1506–152… [find](https://scholar.google.com/scholar?q=Moshe+Berchansky%2C+Peter+Izsak%2C+Avi+Caciularu%2C+Ido+Dagan%2C+and+Moshe+Wasserblat%2E+Optimizing+retrieval%2Daugmented+reader+models+via+token+elimination%2E+In+Houda+Bouamor%2C+Juan+Pino%2C+and+Kalika+Bali+%28eds%2E%29%2C+)
21. Basil Bernstein. Symbolic control: issues of empirical description of agencies and agents. International journal of social research methodology, 4(1):21–33, 2001. [find](https://scholar.google.com/scholar?q=Basil+Bernstein%2E+Symbolic+control%3A+issues+of+empirical+description+of+agencies+and+agents%2E+International+journal+of+social+research+methodology%2C+4%281%29%3A21%E2%80%9333%2C+2001%2E)
22. Lenore Blum and Manuel Blum. A theoretical computer science perspective on consciousness and artificial general intelligence. Engineering, 25:12–16, 2023. [find](https://scholar.google.com/scholar?q=Lenore+Blum+and+Manuel+Blum%2E+A+theoretical+computer+science+perspective+on+consciousness+and+artificial+general+intelligence%2E+Engineering%2C+25%3A12%E2%80%9316%2C+2023%2E)
23. Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George Bm Van Den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, et al. Improving language models by retrieving from trillions of tokens. In International conference on machine learning, p… [find](https://scholar.google.com/scholar?q=Sebastian+Borgeaud%2C+Arthur+Mensch%2C+Jordan+Hoffmann%2C+Trevor+Cai%2C+Eliza+Rutherford%2C+Katie+Millican%2C+George+Bm+Van+Den+Driessche%2C+Jean%2DBaptiste+Lespiau%2C+Bogdan+Damoc%2C+Aidan+Clark%2C+et+al%2E+Improving+langua)
24. BosonAI. Introducing rpbench-auto, 2024. URL [https://boson.ai/rpbench-blog/](https://boson.ai/rpbench-blog/). [↗](https://boson.ai/rpbench-blog/)
25. Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, and Snigdha Chaturvedi. " let your characters tell their story": A dataset for character-centric narrative understanding. arXiv preprint arXiv:2109.05438, 2021. [find](https://scholar.google.com/scholar?q=Faeze+Brahman%2C+Meng+Huang%2C+Oyvind+Tafjord%2C+Chao+Zhao%2C+Mrinmaya+Sachan%2C+and+Snigdha+Chaturvedi%2E+%22+let+your+characters+tell+their+story%22%3A+A+dataset+for+character%2Dcentric+narrative+understanding%2E+arXiv+p)
26. Andres M Bran, Sam Cox, Andrew D White, and Philippe Schwaller. Chemcrow: Augmenting large-language models with chemistry tools. arXiv preprint arXiv:2304.05376, 2023. [find](https://scholar.google.com/scholar?q=Andres+M+Bran%2C+Sam+Cox%2C+Andrew+D+White%2C+and+Philippe+Schwaller%2E+Chemcrow%3A+Augmenting+large%2Dlanguage+models+with+chemistry+tools%2E+arXiv+preprint+arXiv%3A2304%2E05376%2C+2023%2E)
27. Hezekiah J Branch, Jonathan Rodriguez Cefalu, Jeremy McHugh, Leyla Hujer, Aditya Bahl, Daniel del Castillo Iglesias, Ron Heichman, and Ramesh Darwishi. Evaluating the susceptibility of pre-trained language models via handcrafted adversarial examples. arXiv preprint arXiv:2209.02128, 2022. — [arXiv:2209.02128](https://arxiv.org/abs/2209.02128) [find](https://scholar.google.com/scholar?q=Hezekiah+J+Branch%2C+Jonathan+Rodriguez+Cefalu%2C+Jeremy+McHugh%2C+Leyla+Hujer%2C+Aditya+Bahl%2C+Daniel+del+Castillo+Iglesias%2C+Ron+Heichman%2C+and+Ramesh+Darwishi%2E+Evaluating+the+susceptibility+of+pre%2Dtrained+lan)
28. Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chri… [find](https://scholar.google.com/scholar?q=Tom+Brown%2C+Benjamin+Mann%2C+Nick+Ryder%2C+Melanie+Subbiah%2C+Jared+D+Kaplan%2C+Prafulla+Dhariwal%2C+Arvind+Neelakantan%2C+Pranav+Shyam%2C+Girish+Sastry%2C+Amanda+Askell%2C+Sandhini+Agarwal%2C+Ariel+Herbert%2DVoss%2C+Gretchen)
29. Curran Associates, Inc., 2020. URL [https://proceedings.neurips.cc/paper/2020/file/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf](https://proceedings.neurips.cc/paper/2020/file/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf). [↗](https://proceedings.neurips.cc/paper/2020/file/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf)
30. Graham Caron and Shashank Srivastava. Identifying and manipulating the personality traits of language models. arXiv preprint arXiv:2212.10276, 2022. — [arXiv:2212.10276](https://arxiv.org/abs/2212.10276) [find](https://scholar.google.com/scholar?q=Graham+Caron+and+Shashank+Srivastava%2E+Identifying+and+manipulating+the+personality+traits+of+language+models%2E+arXiv+preprint+arXiv%3A2212%2E10276%2C+2022%2E+%E2%80%94+%5BarXiv%3A2212%2E10276%5D%28https%3A%2F%2Farxiv%2Eorg%2Fabs%2F2212%2E102)
31. Kranti Chalamalasetti, Jana Götze, Sherzod Hakimov, Brielen Madureira, Philipp Sadler, and David Schlangen. clembench: Using game play to evaluate chat-optimized language models as conversational agents. In Houda Bouamor, Juan Pino, and Kalika Bali (eds.), Proceedings of the 2023 Conference on Empir… [find](https://scholar.google.com/scholar?q=Kranti+Chalamalasetti%2C+Jana+G%C3%B6tze%2C+Sherzod+Hakimov%2C+Brielen+Madureira%2C+Philipp+Sadler%2C+and+David+Schlangen%2E+clembench%3A+Using+game+play+to+evaluate+chat%2Doptimized+language+models+as+conversational+agen)
32. Xin Chan, Xiaoyang Wang, Dian Yu, Haitao Mi, and Dong Yu. Scaling synthetic data creation with 1,000,000,000 personas. arXiv preprint arXiv:2406.20094, 2024. [find](https://scholar.google.com/scholar?q=Xin+Chan%2C+Xiaoyang+Wang%2C+Dian+Yu%2C+Haitao+Mi%2C+and+Dong+Yu%2E+Scaling+synthetic+data+creation+with+1%2C000%2C000%2C000+personas%2E+arXiv+preprint+arXiv%3A2406%2E20094%2C+2024%2E) [our card](https://md.research.elamur.ai/free/en/papers/ge-2024-scaling-synthetic-data-creation-1/)
33. Patrick Chao, Alexander Robey, Edgar Dobriban, Hamed Hassani, George J Pappas, and Eric Wong. Jailbreaking black box large language models in twenty queries. arXiv preprint arXiv:2310.08419, 2023. [find](https://scholar.google.com/scholar?q=Patrick+Chao%2C+Alexander+Robey%2C+Edgar+Dobriban%2C+Hamed+Hassani%2C+George+J+Pappas%2C+and+Eric+Wong%2E+Jailbreaking+black+box+large+language+models+in+twenty+queries%2E+arXiv+preprint+arXiv%3A2310%2E08419%2C+2023%2E) [our card](https://md.research.elamur.ai/free/en/papers/chao-2023-jailbreaking-black-box-large-language/)
34. Wenshuo Chao, Zhi Zheng, Hengshu Zhu, and Hao Liu. Make large language model a better ranker, 2024. [find](https://scholar.google.com/scholar?q=Wenshuo+Chao%2C+Zhi+Zheng%2C+Hengshu+Zhu%2C+and+Hao+Liu%2E+Make+large+language+model+a+better+ranker%2C+2024%2E)
35. Kushal Chawla, Ian Wu, Yu Rong, Gale Lucas, and Jonathan Gratch. Be selfish, but wisely: Investigating the impact of agent personality in mixed-motive human-agent interactions. In Houda Bouamor, Juan Pino, and Kalika Bali (eds.), Proceedings of the 2023 Conference on Empirical Methods in Natural Lan… [find](https://scholar.google.com/scholar?q=Kushal+Chawla%2C+Ian+Wu%2C+Yu+Rong%2C+Gale+Lucas%2C+and+Jonathan+Gratch%2E+Be+selfish%2C+but+wisely%3A+Investigating+the+impact+of+agent+personality+in+mixed%2Dmotive+human%2Dagent+interactions%2E+In+Houda+Bouamor%2C+Juan+)
36. Hongzhan Chen, Hehong Chen, Ming Yan, Wenshen Xu, Xing Gao, Weizhou Shen, Xiaojun Quan, Chenliang Li, Ji Zhang, Fei Huang, et al. Socialbench: Sociality evaluation of role-playing conversational agents. arXiv preprint arXiv:2403.13679, 2024. [find](https://scholar.google.com/scholar?q=Hongzhan+Chen%2C+Hehong+Chen%2C+Ming+Yan%2C+Wenshen+Xu%2C+Xing+Gao%2C+Weizhou+Shen%2C+Xiaojun+Quan%2C+Chenliang+Li%2C+Ji+Zhang%2C+Fei+Huang%2C+et+al%2E+Socialbench%3A+Sociality+evaluation+of+role%2Dplaying+conversational+agent)
37. Jiangjie Chen, Siyu Yuan, Rong Ye, Bodhisattwa Prasad Majumder, and Kyle Richardson. Put your money where your mouth is: Evaluating strategic planning and execution of llm agents in an auction arena. arXiv preprint arXiv:2310.05746, 2023a. — [arXiv:2310.05746](https://arxiv.org/abs/2310.05746) [find](https://scholar.google.com/scholar?q=Jiangjie+Chen%2C+Siyu+Yuan%2C+Rong+Ye%2C+Bodhisattwa+Prasad+Majumder%2C+and+Kyle+Richardson%2E+Put+your+money+where+your+mouth+is%3A+Evaluating+strategic+planning+and+execution+of+llm+agents+in+an+auction+arena%2E+)
38. Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Defu Lian, and Enhong Chen. When large language models meet personalization: Perspectives of challenges and opportunities, 2023b. [find](https://scholar.google.com/scholar?q=Jin+Chen%2C+Zheng+Liu%2C+Xu+Huang%2C+Chenwang+Wu%2C+Qi+Liu%2C+Gangwei+Jiang%2C+Yuanhao+Pu%2C+Yuxuan+Lei%2C+Xiaolong+Chen%2C+Xingmei+Wang%2C+Defu+Lian%2C+and+Enhong+Chen%2E+When+large+language+models+meet+personalization%3A+Per)
39. Nuo Chen, Yan Wang, Haiyun Jiang, Deng Cai, Yuhan Li, Ziyang Chen, Longyue Wang, and Jia Li. Large language models meet harry potter: A dataset for aligning dialogue agents with characters. In Findings of the Association for Computational Linguistics: EMNLP 2023, pp. 8506–8520, 2023c. [find](https://scholar.google.com/scholar?q=Nuo+Chen%2C+Yan+Wang%2C+Haiyun+Jiang%2C+Deng+Cai%2C+Yuhan+Li%2C+Ziyang+Chen%2C+Longyue+Wang%2C+and+Jia+Li%2E+Large+language+models+meet+harry+potter%3A+A+dataset+for+aligning+dialogue+agents+with+characters%2E+In+Finding)
40. Yukang Chen, Shengju Qian, Haotian Tang, Xin Lai, Zhijian Liu, Song Han, and Jiaya Jia. Longlora: Efficient fine-tuning of long-context large language models. arXiv preprint arXiv:2309.12307, 2023d. [find](https://scholar.google.com/scholar?q=Yukang+Chen%2C+Shengju+Qian%2C+Haotian+Tang%2C+Xin+Lai%2C+Zhijian+Liu%2C+Song+Han%2C+and+Jiaya+Jia%2E+Longlora%3A+Efficient+fine%2Dtuning+of+long%2Dcontext+large+language+models%2E+arXiv+preprint+arXiv%3A2309%2E12307%2C+2023d%2E) [our card](https://md.research.elamur.ai/free/en/papers/chen-2023-longlora-efficient-fine-tuning-long/)
41. Zhipeng Chen, Kun Zhou, Beichen Zhang, Zheng Gong, Xin Zhao, and Ji-Rong Wen. ChatCoT: Tool-augmented chain-of-thought reasoning on chat-based large language models. In Houda Bouamor, Juan Pino, and Kalika Bali (eds.), Findings of the Association for Computational Linguistics: EMNLP 2023, pp. 14777–… [find](https://scholar.google.com/scholar?q=Zhipeng+Chen%2C+Kun+Zhou%2C+Beichen+Zhang%2C+Zheng+Gong%2C+Xin+Zhao%2C+and+Ji%2DRong+Wen%2E+ChatCoT%3A+Tool%2Daugmented+chain%2Dof%2Dthought+reasoning+on+chat%2Dbased+large+language+models%2E+In+Houda+Bouamor%2C+Juan+Pino%2C+and+K)
42. Myra Cheng, Esin Durmus, and Dan Jurafsky. Marked personas: Using natural language prompts to measure stereotypes in language models, 2023a. [find](https://scholar.google.com/scholar?q=Myra+Cheng%2C+Esin+Durmus%2C+and+Dan+Jurafsky%2E+Marked+personas%3A+Using+natural+language+prompts+to+measure+stereotypes+in+language+models%2C+2023a%2E) [our card](https://md.research.elamur.ai/free/en/papers/cheng-2023-marked-personas-natural-language-prompts/)
43. Pengyu Cheng, Tianhao Hu, Han Xu, Zhisong Zhang, Yong Dai, Lei Han, and Nan Du. Self-playing adversarial language game enhances llm reasoning. arXiv preprint arXiv:2404.10642, 2024. — [arXiv:2404.10642](https://arxiv.org/abs/2404.10642) [find](https://scholar.google.com/scholar?q=Pengyu+Cheng%2C+Tianhao+Hu%2C+Han+Xu%2C+Zhisong+Zhang%2C+Yong+Dai%2C+Lei+Han%2C+and+Nan+Du%2E+Self%2Dplaying+adversarial+language+game+enhances+llm+reasoning%2E+arXiv+preprint+arXiv%3A2404%2E10642%2C+2024%2E+%E2%80%94+%5BarXiv%3A2404%2E1064)
44. Xin Cheng, Di Luo, Xiuying Chen, Lemao Liu, Dongyan Zhao, and Rui Yan. Lift yourself up: Retrieval-augmented text generation with self-memory. In Thirty-seventh Conference on Neural Information Processing Systems, 2023b. URL [https://openreview.net/forum?id=lYNSvp51a7](https://openreview.net/forum?id=lYNSvp51a7). [↗](https://openreview.net/forum?id=lYNSvp51a7)
45. Itsugun Cho, Dongyang Wang, Ryota Takahashi, and Hiroaki Saito. A personalized dialogue generator with implicit user persona detection. In Nicoletta Calzolari, Chu-Ren Huang, Hansaem Kim, James Pustejovsky, Leo Wanner, Key-Sun Choi, Pum-Mo Ryu, Hsin-Hsi Chen, Lucia Donatelli, Heng Ji, Sadao Kurohash… [find](https://scholar.google.com/scholar?q=Itsugun+Cho%2C+Dongyang+Wang%2C+Ryota+Takahashi%2C+and+Hiroaki+Saito%2E+A+personalized+dialogue+generator+with+implicit+user+persona+detection%2E+In+Nicoletta+Calzolari%2C+Chu%2DRen+Huang%2C+Hansaem+Kim%2C+James+Pustej)
46. Won Ik Cho, Yoon Kyung Lee, Seoyeon Bae, Jihwan Kim, Sangah Park, Moosung Kim, Sowon Hahn, and Nam Soo Kim. When crowd meets persona: Creating a large-scale open-domain persona dialogue corpus. arXiv preprint arXiv:2304.00350, 2023. — [arXiv:2304.00350](https://arxiv.org/abs/2304.00350) [find](https://scholar.google.com/scholar?q=Won+Ik+Cho%2C+Yoon+Kyung+Lee%2C+Seoyeon+Bae%2C+Jihwan+Kim%2C+Sangah+Park%2C+Moosung+Kim%2C+Sowon+Hahn%2C+and+Nam+Soo+Kim%2E+When+crowd+meets+persona%3A+Creating+a+large%2Dscale+open%2Ddomain+persona+dialogue+corpus%2E+arXiv+)
47. Julian Coda-Forno, Kristin Witte, Akshay K Jagadish, Marcel Binz, Zeynep Akata, and Eric Schulz. Inducing anxiety in large language models increases exploration and bias. arXiv preprint arXiv:2304.11111, 2023. — [arXiv:2304.11111](https://arxiv.org/abs/2304.11111) [find](https://scholar.google.com/scholar?q=Julian+Coda%2DForno%2C+Kristin+Witte%2C+Akshay+K+Jagadish%2C+Marcel+Binz%2C+Zeynep+Akata%2C+and+Eric+Schulz%2E+Inducing+anxiety+in+large+language+models+increases+exploration+and+bias%2E+arXiv+preprint+arXiv%3A2304%2E111)
48. Aaron Daniel Cohen, Adam Roberts, Alejandra Molina, Alena Butryna, Alicia Jin, Apoorv Kulshreshtha, Ben Hutchinson, Ben Zevenbergen, Blaise Hilary Aguera-Arcas, Chung ching Chang, Claire Cui, Cosmo Du, Daniel De Freitas Adiwardana, Dehao Chen, Dmitry (Dima) Lepikhin, Ed H. Chi, Erin Hoffman-John, He… [find](https://scholar.google.com/scholar?q=Aaron+Daniel+Cohen%2C+Adam+Roberts%2C+Alejandra+Molina%2C+Alena+Butryna%2C+Alicia+Jin%2C+Apoorv+Kulshreshtha%2C+Ben+Hutchinson%2C+Ben+Zevenbergen%2C+Blaise+Hilary+Aguera%2DArcas%2C+Chung+ching+Chang%2C+Claire+Cui%2C+Cosmo+Du) [our card](https://md.research.elamur.ai/free/en/papers/thoppilan-2022-lamda-language-models-dialog-applications/)
49. Fergus IM Craik and Janine M Jennings. Human memory. 1992. [find](https://scholar.google.com/scholar?q=Fergus+IM+Craik+and+Janine+M+Jennings%2E+Human+memory%2E+1992%2E)
50. Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, and Jun Xu. Uncovering chatgpt’s capabilities in recommender systems, 2023a. [find](https://scholar.google.com/scholar?q=Sunhao+Dai%2C+Ninglu+Shao%2C+Haiyuan+Zhao%2C+Weijie+Yu%2C+Zihua+Si%2C+Chen+Xu%2C+Zhongxiang+Sun%2C+Xiao+Zhang%2C+and+Jun+Xu%2E+Uncovering+chatgpt%E2%80%99s+capabilities+in+recommender+systems%2C+2023a%2E)
51. Yanqi Dai, Huanran Hu, Lei Wang, Shengjie Jin, Xu Chen, and Zhiwu Lu. Mmrole: A comprehensive framework for developing and evaluating multimodal role-playing agents, 2024a. URL https://arxiv.org/abs/2408.04203. — [arXiv:2408.04203](https://arxiv.org/abs/2408.04203) [↗](https://arxiv.org/abs/2408.04203)
52. Yijia Dai, Joyce Zhou, and Thorsten Joachims. Language-based user profiles for recommendation, 2024b. [find](https://scholar.google.com/scholar?q=Yijia+Dai%2C+Joyce+Zhou%2C+and+Thorsten+Joachims%2E+Language%2Dbased+user+profiles+for+recommendation%2C+2024b%2E)
53. Zhuyun Dai, Vincent Y Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith Hall, and Ming-Wei Chang. Promptagator: Few-shot dense retrieval from 8 examples. In The Eleventh International Conference on Learning Representations, 2023b. URL [https://openreview.net/forum?id=gmL46YMp…](https://openreview.net/forum?id=gmL46YMp…) [↗](https://openreview.net/forum?id=gmL46YMp…) [our card](https://md.research.elamur.ai/free/en/papers/dai-2022-promptagator-few-shot-dense-retrieval/)
54. Bhavana Dalvi Mishra, Oyvind Tafjord, and Peter Clark. Towards teachable reasoning systems: Using a dynamic memory of user feedback for continual system improvement. arXiv preprint arXiv:2204.13074v2, 2022. [find](https://scholar.google.com/scholar?q=Bhavana+Dalvi+Mishra%2C+Oyvind+Tafjord%2C+and+Peter+Clark%2E+Towards+teachable+reasoning+systems%3A+Using+a+dynamic+memory+of+user+feedback+for+continual+system+improvement%2E+arXiv+preprint+arXiv%3A2204%2E13074v2%2C)
55. Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, and Karthik Narasimhan. Toxicity in chatgpt: Analyzing persona-assigned language models. In Houda Bouamor, Juan Pino, and Kalika Bali (eds.), Findings of the Association for Computational Linguistics: EMNLP 2023, pp. 1236–1270, Sin… [find](https://scholar.google.com/scholar?q=Ameet+Deshpande%2C+Vishvak+Murahari%2C+Tanmay+Rajpurohit%2C+Ashwin+Kalyan%2C+and+Karthik+Narasimhan%2E+Toxicity+in+chatgpt%3A+Analyzing+persona%2Dassigned+language+models%2E+In+Houda+Bouamor%2C+Juan+Pino%2C+and+Kalika+Ba) [our card](https://md.research.elamur.ai/free/en/papers/deshpande-2023-toxicity-chatgpt-analyzing-persona-assigned/)
56. Emily Dinan, Stephen Roller, Kurt Shuster, Angela Fan, Michael Auli, and Jason Weston. Wizard of wikipedia: Knowledge-powered conversational agents. arXiv preprint arXiv:1811.01241, 2018. [find](https://scholar.google.com/scholar?q=Emily+Dinan%2C+Stephen+Roller%2C+Kurt+Shuster%2C+Angela+Fan%2C+Michael+Auli%2C+and+Jason+Weston%2E+Wizard+of+wikipedia%3A+Knowledge%2Dpowered+conversational+agents%2E+arXiv+preprint+arXiv%3A1811%2E01241%2C+2018%2E)
57. Emily Dinan, Varvara Logacheva, Valentin Malykh, Alexander Miller, Kurt Shuster, Jack Urbanek, Douwe Kiela, Arthur Szlam, Iulian Serban, Ryan Lowe, et al. The second conversational intelligence challenge (convai2). In The NeurIPS’18 Competition: From Machine Learning to Intelligent Conversations, pp… [find](https://scholar.google.com/scholar?q=Emily+Dinan%2C+Varvara+Logacheva%2C+Valentin+Malykh%2C+Alexander+Miller%2C+Kurt+Shuster%2C+Jack+Urbanek%2C+Douwe+Kiela%2C+Arthur+Szlam%2C+Iulian+Serban%2C+Ryan+Lowe%2C+et+al%2E+The+second+conversational+intelligence+challe) [our card](https://md.research.elamur.ai/free/en/papers/dinan-2019-second-conversational-intelligence-challenge-convai2/)
58. Jiayu Ding, Shuming Ma, Li Dong, Xingxing Zhang, Shaohan Huang, Wenhui Wang, Nanning Zheng, and Furu Wei. Longnet: Scaling transformers to 1,000,000,000 tokens. arXiv preprint arXiv:2307.02486, 2023a. [find](https://scholar.google.com/scholar?q=Jiayu+Ding%2C+Shuming+Ma%2C+Li+Dong%2C+Xingxing+Zhang%2C+Shaohan+Huang%2C+Wenhui+Wang%2C+Nanning+Zheng%2C+and+Furu+Wei%2E+Longnet%3A+Scaling+transformers+to+1%2C000%2C000%2C000+tokens%2E+arXiv+preprint+arXiv%3A2307%2E02486%2C+2023a%2E)
59. Keyu Ding, Yongcan Wang, Zihang Xu, Zhenzhen Jia, Shijin Wang, Cong Liu, and Enhong Chen. Generative input: Towards next-generation input methods paradigm. arXiv preprint arXiv:2311.01166, 2023b. [find](https://scholar.google.com/scholar?q=Keyu+Ding%2C+Yongcan+Wang%2C+Zihang+Xu%2C+Zhenzhen+Jia%2C+Shijin+Wang%2C+Cong+Liu%2C+and+Enhong+Chen%2E+Generative+input%3A+Towards+next%2Dgeneration+input+methods+paradigm%2E+arXiv+preprint+arXiv%3A2311%2E01166%2C+2023b%2E)
60. Xin Luna Dong, Seungwhan Moon, Yifan Ethan Xu, Kshitiz Malik, and Zhou Yu. Towards next-generation intelligent assistants leveraging llm techniques. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 5792–5793, 2023. [find](https://scholar.google.com/scholar?q=Xin+Luna+Dong%2C+Seungwhan+Moon%2C+Yifan+Ethan+Xu%2C+Kshitiz+Malik%2C+and+Zhou+Yu%2E+Towards+next%2Dgeneration+intelligent+assistants+leveraging+llm+techniques%2E+In+Proceedings+of+the+29th+ACM+SIGKDD+Conference+on)
61. Joel Eapen and VS Adhithyan. Personalization and customization of llm responses. Anestis Fachantidis, Matthew E Taylor, and Ioannis Vlahavas. Learning to teach reinforcement learning agents. Machine Learning and Knowledge Extraction, 1(1):21–42, 2017. [find](https://scholar.google.com/scholar?q=Joel+Eapen+and+VS+Adhithyan%2E+Personalization+and+customization+of+llm+responses%2E+Anestis+Fachantidis%2C+Matthew+E+Taylor%2C+and+Ioannis+Vlahavas%2E+Learning+to+teach+reinforcement+learning+agents%2E+Machine+L)
62. FAIR, Anton Bakhtin, Noam Brown, Emily Dinan, Gabriele Farina, Colin Flaherty, Daniel Fried, Andrew Goff, Jonathan Gray, Hengyuan Hu, Athul Paul Jacob, Mojtaba Komeili, Karthik Konath, Minae Kwon, Adam Lerer, Mike Lewis, Alexander H. Miller, Sasha Mitts, Adithya Renduchintala, Stephen Roller, Dirk R… — [doi:10.1126/science.ade9097](https://doi.org/10.1126/science.ade9097) [find](https://scholar.google.com/scholar?q=FAIR%2C+Anton+Bakhtin%2C+Noam+Brown%2C+Emily+Dinan%2C+Gabriele+Farina%2C+Colin+Flaherty%2C+Daniel+Fried%2C+Andrew+Goff%2C+Jonathan+Gray%2C+Hengyuan+Hu%2C+Athul+Paul+Jacob%2C+Mojtaba+Komeili%2C+Karthik+Konath%2C+Minae+Kwon%2C+Ada)
63. Nicholas Farn and Richard Shin. Tooltalk: Evaluating tool-usage in a conversational setting. arXiv preprint arXiv:2311.10775, 2023. — [arXiv:2311.10775](https://arxiv.org/abs/2311.10775) [find](https://scholar.google.com/scholar?q=Nicholas+Farn+and+Richard+Shin%2E+Tooltalk%3A+Evaluating+tool%2Dusage+in+a+conversational+setting%2E+arXiv+preprint+arXiv%3A2311%2E10775%2C+2023%2E+%E2%80%94+%5BarXiv%3A2311%2E10775%5D%28https%3A%2F%2Farxiv%2Eorg%2Fabs%2F2311%2E10775%29)
64. Kevin A Fischer. Reflective linguistic programming (rlp): A stepping stone in socially-aware agi (socialagi). arXiv preprint arXiv:2305.12647, 2023. — [arXiv:2305.12647](https://arxiv.org/abs/2305.12647) [find](https://scholar.google.com/scholar?q=Kevin+A+Fischer%2E+Reflective+linguistic+programming+%28rlp%29%3A+A+stepping+stone+in+socially%2Daware+agi+%28socialagi%29%2E+arXiv+preprint+arXiv%3A2305%2E12647%2C+2023%2E+%E2%80%94+%5BarXiv%3A2305%2E12647%5D%28https%3A%2F%2Farxiv%2Eorg%2Fabs%2F2305%2E126)
65. Carlos Florensa, David Held, Xinyang Geng, and Pieter Abbeel. Automatic goal generation for reinforcement learning agents. In International conference on machine learning, pp. 1515–1528. PMLR, 2018. [find](https://scholar.google.com/scholar?q=Carlos+Florensa%2C+David+Held%2C+Xinyang+Geng%2C+and+Pieter+Abbeel%2E+Automatic+goal+generation+for+reinforcement+learning+agents%2E+In+International+conference+on+machine+learning%2C+pp%2E+1515%E2%80%931528%2E+PMLR%2C+2018%2E)
66. Difei Gao, Lei Ji, Zechen Bai, Mingyu Ouyang, Peiran Li, Dongxing Mao, Qinchen Wu, Weichen Zhang, Peiyi Wang, Xiangwu Guo, et al. Assistgui: Task-oriented desktop graphical user interface automation. arXiv preprint arXiv:2312.13108, 2023a. — [arXiv:2312.13108](https://arxiv.org/abs/2312.13108) [find](https://scholar.google.com/scholar?q=Difei+Gao%2C+Lei+Ji%2C+Zechen+Bai%2C+Mingyu+Ouyang%2C+Peiran+Li%2C+Dongxing+Mao%2C+Qinchen+Wu%2C+Weichen+Zhang%2C+Peiyi+Wang%2C+Xiangwu+Guo%2C+et+al%2E+Assistgui%3A+Task%2Doriented+desktop+graphical+user+interface+automation%2E+)
67. Jingsheng Gao, Yixin Lian, Ziyi Zhou, Yuzhuo Fu, and Baoyuan Wang. Livechat: A large-scale personalized dialogue dataset automatically constructed from live streaming. arXiv preprint arXiv:2306.08401, 2023b. [find](https://scholar.google.com/scholar?q=Jingsheng+Gao%2C+Yixin+Lian%2C+Ziyi+Zhou%2C+Yuzhuo+Fu%2C+and+Baoyuan+Wang%2E+Livechat%3A+A+large%2Dscale+personalized+dialogue+dataset+automatically+constructed+from+live+streaming%2E+arXiv+preprint+arXiv%3A2306%2E08401%2C)
68. Gemini Team Google. Gemini: a family of highly capable multimodal models. arXiv preprint arXiv:2312.11805, 2023. [find](https://scholar.google.com/scholar?q=Gemini+Team+Google%2E+Gemini%3A+a+family+of+highly+capable+multimodal+models%2E+arXiv+preprint+arXiv%3A2312%2E11805%2C+2023%2E) [our card](https://md.research.elamur.ai/free/en/papers/gemini-team-2023-gemini-family-highly-capable-multimodal/)
69. Tear Gosling, Alpin Dale, and Yinhe Zheng. Pippa: A partially synthetic conversational dataset, 2023. [find](https://scholar.google.com/scholar?q=Tear+Gosling%2C+Alpin+Dale%2C+and+Yinhe+Zheng%2E+Pippa%3A+A+partially+synthetic+conversational+dataset%2C+2023%2E)
70. Nicholas Mark Gotts, J Gareth Polhill, and Alistair N. R. Law. Agent-based simulation in the study of social dilemmas. Artificial Intelligence Review, 19:3–92, 2003. [find](https://scholar.google.com/scholar?q=Nicholas+Mark+Gotts%2C+J+Gareth+Polhill%2C+and+Alistair+N%2E+R%2E+Law%2E+Agent%2Dbased+simulation+in+the+study+of+social+dilemmas%2E+Artificial+Intelligence+Review%2C+19%3A3%E2%80%9392%2C+2003%2E)
71. Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Nan Duan, and Weizhu Chen. Critic: Large language models can self-correct with tool-interactive critiquing. arXiv preprint arXiv:2305.11738, 2023. [find](https://scholar.google.com/scholar?q=Zhibin+Gou%2C+Zhihong+Shao%2C+Yeyun+Gong%2C+Yelong+Shen%2C+Yujiu+Yang%2C+Nan+Duan%2C+and+Weizhu+Chen%2E+Critic%3A+Large+language+models+can+self%2Dcorrect+with+tool%2Dinteractive+critiquing%2E+arXiv+preprint+arXiv%3A2305%2E117) [our card](https://md.research.elamur.ai/free/en/papers/gou-2023-critic-large-language-models-self/)
72. Zhouhong Gu, Xiaoxuan Zhu, Haoran Guo, Lin Zhang, Yin Cai, Hao Shen, Jiangjie Chen, Zheyu Ye, Yifei Dai, Yan Gao, et al. Agent group chat: An interactive group chat simulacra for better eliciting collective emergent behavior. arXiv preprint arXiv:2403.13433, 2024. — [arXiv:2403.13433](https://arxiv.org/abs/2403.13433) [find](https://scholar.google.com/scholar?q=Zhouhong+Gu%2C+Xiaoxuan+Zhu%2C+Haoran+Guo%2C+Lin+Zhang%2C+Yin+Cai%2C+Hao+Shen%2C+Jiangjie+Chen%2C+Zheyu+Ye%2C+Yifei+Dai%2C+Yan+Gao%2C+et+al%2E+Agent+group+chat%3A+An+interactive+group+chat+simulacra+for+better+eliciting+coll)
73. Yanchu Guan, Dong Wang, Zhixuan Chu, Shiyu Wang, Feiyue Ni, Ruihua Song, Longfei Li, Jinjie Gu, and Chenyi Zhuang. Intelligent virtual assistants with llm-based process automation, 2023. [find](https://scholar.google.com/scholar?q=Yanchu+Guan%2C+Dong+Wang%2C+Zhixuan+Chu%2C+Shiyu+Wang%2C+Feiyue+Ni%2C+Ruihua+Song%2C+Longfei+Li%2C+Jinjie+Gu%2C+and+Chenyi+Zhuang%2E+Intelligent+virtual+assistants+with+llm%2Dbased+process+automation%2C+2023%2E)
74. Shangmin Guo, Haochuan Wang, Haoran Bu, Yi Ren, Dianbo Sui, Yu-Ming Shang, and Siting Lu. Large language models as rational players in competitive economics games. 2023. [find](https://scholar.google.com/scholar?q=Shangmin+Guo%2C+Haochuan+Wang%2C+Haoran+Bu%2C+Yi+Ren%2C+Dianbo+Sui%2C+Yu%2DMing+Shang%2C+and+Siting+Lu%2E+Large+language+models+as+rational+players+in+competitive+economics+games%2E+2023%2E)
75. Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, Ashwin Kalyan, Peter Clark, Ashish Sabharwal, and Tushar Khot. Bias runs deep: Implicit reasoning biases in persona-assigned llms. arXiv preprint arXiv:2311.04892, 2023. [find](https://scholar.google.com/scholar?q=Shashank+Gupta%2C+Vaishnavi+Shrivastava%2C+Ameet+Deshpande%2C+Ashwin+Kalyan%2C+Peter+Clark%2C+Ashish+Sabharwal%2C+and+Tushar+Khot%2E+Bias+runs+deep%3A+Implicit+reasoning+biases+in+persona%2Dassigned+llms%2E+arXiv+preprin)
76. Vipul Gupta, Pranav Narayanan Venkit, Shomir Wilson, and Rebecca J. Passonneau. Sociodemographic bias in language models: A survey and forward path, 2024. [find](https://scholar.google.com/scholar?q=Vipul+Gupta%2C+Pranav+Narayanan+Venkit%2C+Shomir+Wilson%2C+and+Rebecca+J%2E+Passonneau%2E+Sociodemographic+bias+in+language+models%3A+A+survey+and+forward+path%2C+2024%2E)
77. Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel, and Sergey Levine. Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor. 2017. [find](https://scholar.google.com/scholar?q=Tuomas+Haarnoja%2C+Aurick+Zhou%2C+Pieter+Abbeel%2C+and+Sergey+Levine%2E+Soft+actor%2Dcritic%3A+Off%2Dpolicy+maximum+entropy+deep+reinforcement+learning+with+a+stochastic+actor%2E+2017%2E)
78. Chi Han, Qifan Wang, Wenhan Xiong, Yu Chen, Heng Ji, and Sinong Wang. Lm-infinite: Simple on-the-fly length generalization for large language models. arXiv preprint arXiv:2308.16137, 2023. — [arXiv:2308.16137](https://arxiv.org/abs/2308.16137) [find](https://scholar.google.com/scholar?q=Chi+Han%2C+Qifan+Wang%2C+Wenhan+Xiong%2C+Yu+Chen%2C+Heng+Ji%2C+and+Sinong+Wang%2E+Lm%2Dinfinite%3A+Simple+on%2Dthe%2Dfly+length+generalization+for+large+language+models%2E+arXiv+preprint+arXiv%3A2308%2E16137%2C+2023%2E+%E2%80%94+%5BarXiv%3A23)
79. Seungju Han, Beomsu Kim, Jin Yong Yoo, Seokjun Seo, Sangbum Kim, Enkhbayar Erdenee, and Buru Chang. Meet your favorite character: Open-domain chatbot mimicking fictional characters with only a few utterances. In Marine Carpuat, Marie-Catherine de Marneffe, and Ivan Vladimir Meza Ruiz (eds.), Proceed… [find](https://scholar.google.com/scholar?q=Seungju+Han%2C+Beomsu+Kim%2C+Jin+Yong+Yoo%2C+Seokjun+Seo%2C+Sangbum+Kim%2C+Enkhbayar+Erdenee%2C+and+Buru+Chang%2E+Meet+your+favorite+character%3A+Open%2Ddomain+chatbot+mimicking+fictional+characters+with+only+a+few+utt)
80. Jochen Hartmann, Jasper Schwenzow, and Maximilian Witte. The political ideology of conversational ai: Converging evidence on chatgpt’s pro-environmental, left-libertarian orientation. arXiv preprint arXiv:2301.01768, 2023. [find](https://scholar.google.com/scholar?q=Jochen+Hartmann%2C+Jasper+Schwenzow%2C+and+Maximilian+Witte%2E+The+political+ideology+of+conversational+ai%3A+Converging+evidence+on+chatgpt%E2%80%99s+pro%2Denvironmental%2C+left%2Dlibertarian+orientation%2E+arXiv+preprint+a)
81. Sirui Hong, Xiawu Zheng, Jonathan Chen, Yuheng Cheng, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, Chenyu Ran, et al. Metagpt: Meta programming for multi-agent collaborative framework. arXiv preprint arXiv:2308.00352, 2023. [find](https://scholar.google.com/scholar?q=Sirui+Hong%2C+Xiawu+Zheng%2C+Jonathan+Chen%2C+Yuheng+Cheng%2C+Ceyao+Zhang%2C+Zili+Wang%2C+Steven+Ka+Shing+Yau%2C+Zijuan+Lin%2C+Liyang+Zhou%2C+Chenyu+Ran%2C+et+al%2E+Metagpt%3A+Meta+programming+for+multi%2Dagent+collaborative+f) [our card](https://md.research.elamur.ai/free/en/papers/hong-2023-metagpt-meta-programming-multi/)
82. Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian McAuley, and Wayne Xin Zhao. Large language models are zero-shot rankers for recommender systems, 2024. [find](https://scholar.google.com/scholar?q=Yupeng+Hou%2C+Junjie+Zhang%2C+Zihan+Lin%2C+Hongyu+Lu%2C+Ruobing+Xie%2C+Julian+McAuley%2C+and+Wayne+Xin+Zhao%2E+Large+language+models+are+zero%2Dshot+rankers+for+recommender+systems%2C+2024%2E)
83. Cheng-Yu Hsieh, Si-An Chen, Chun-Liang Li, Yasuhisa Fujii, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, and Tomas Pfister. Tool documentation enables zero-shot tool-usage with large language models, 2023. [find](https://scholar.google.com/scholar?q=Cheng%2DYu+Hsieh%2C+Si%2DAn+Chen%2C+Chun%2DLiang+Li%2C+Yasuhisa+Fujii%2C+Alexander+Ratner%2C+Chen%2DYu+Lee%2C+Ranjay+Krishna%2C+and+Tomas+Pfister%2E+Tool+documentation+enables+zero%2Dshot+tool%2Dusage+with+large+language+models%2C)
84. Wenyue Hua, Lizhou Fan, Lingyao Li, Kai Mei, Jianchao Ji, Yingqiang Ge, Libby Hemphill, and Yongfeng Zhang. War and peace (waragent): Large language model-based multi-agent simulation of world wars. arXiv preprint arXiv:2311.17227, 2023. [find](https://scholar.google.com/scholar?q=Wenyue+Hua%2C+Lizhou+Fan%2C+Lingyao+Li%2C+Kai+Mei%2C+Jianchao+Ji%2C+Yingqiang+Ge%2C+Libby+Hemphill%2C+and+Yongfeng+Zhang%2E+War+and+peace+%28waragent%29%3A+Large+language+model%2Dbased+multi%2Dagent+simulation+of+world+wars%2E+a)
85. Jen-tse Huang, Man Ho Lam, Eric John Li, Shujie Ren, Wenxuan Wang, Wenxiang Jiao, Zhaopeng Tu, and Michael R Lyu. Emotionally numb or empathetic? evaluating how llms feel using emotionbench. arXiv preprint arXiv:2308.03656, 2023a. — [arXiv:2308.03656](https://arxiv.org/abs/2308.03656) [find](https://scholar.google.com/scholar?q=Jen%2Dtse+Huang%2C+Man+Ho+Lam%2C+Eric+John+Li%2C+Shujie+Ren%2C+Wenxuan+Wang%2C+Wenxiang+Jiao%2C+Zhaopeng+Tu%2C+and+Michael+R+Lyu%2E+Emotionally+numb+or+empathetic%3F+evaluating+how+llms+feel+using+emotionbench%2E+arXiv+pre)
86. Jen-tse Huang, Wenxuan Wang, Man Ho Lam, Eric John Li, Wenxiang Jiao, and Michael R. Lyu. Revisiting the reliability of psychological scales on large language models. 2023b. [find](https://scholar.google.com/scholar?q=Jen%2Dtse+Huang%2C+Wenxuan+Wang%2C+Man+Ho+Lam%2C+Eric+John+Li%2C+Wenxiang+Jiao%2C+and+Michael+R%2E+Lyu%2E+Revisiting+the+reliability+of+psychological+scales+on+large+language+models%2E+2023b%2E)
87. Jen-tse Huang, Wenxuan Wang, Eric John Li, Man Ho LAM, Shujie Ren, Youliang Yuan, Wenxiang Jiao, Zhaopeng Tu, and Michael Lyu. On the humanity of conversational ai: Evaluating the psychological portrayal of llms. In The Twelfth International Conference on Learning Representations, 2023c. [find](https://scholar.google.com/scholar?q=Jen%2Dtse+Huang%2C+Wenxuan+Wang%2C+Eric+John+Li%2C+Man+Ho+LAM%2C+Shujie+Ren%2C+Youliang+Yuan%2C+Wenxiang+Jiao%2C+Zhaopeng+Tu%2C+and+Michael+Lyu%2E+On+the+humanity+of+conversational+ai%3A+Evaluating+the+psychological+portra)
88. Jen-tse Huang, Wenxuan Wang, Eric John Li, Man Ho Lam, Shujie Ren, Youliang Yuan, Wenxiang Jiao, Zhaopeng Tu, and Michael R. Lyu. Who is chatgpt? benchmarking llms’ psychological portrayal using psychobench, 2024a. [find](https://scholar.google.com/scholar?q=Jen%2Dtse+Huang%2C+Wenxuan+Wang%2C+Eric+John+Li%2C+Man+Ho+Lam%2C+Shujie+Ren%2C+Youliang+Yuan%2C+Wenxiang+Jiao%2C+Zhaopeng+Tu%2C+and+Michael+R%2E+Lyu%2E+Who+is+chatgpt%3F+benchmarking+llms%E2%80%99+psychological+portrayal+using+psych)
89. Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, and Sarath Chandar. Towards practical tool usage for continually learning llms, 2024b. [find](https://scholar.google.com/scholar?q=Jerry+Huang%2C+Prasanna+Parthasarathi%2C+Mehdi+Rezagholizadeh%2C+and+Sarath+Chandar%2E+Towards+practical+tool+usage+for+continually+learning+llms%2C+2024b%2E)
90. Shijue Huang, Wanjun Zhong, Jianqiao Lu, Qi Zhu, Jiahui Gao, Weiwen Liu, Yutai Hou, Xingshan Zeng, Yasheng Wang, Lifeng Shang, et al. Planning, creation, usage: Benchmarking llms for comprehensive tool utilization in real-world complex scenarios. arXiv preprint arXiv:2401.17167, 2024c. [find](https://scholar.google.com/scholar?q=Shijue+Huang%2C+Wanjun+Zhong%2C+Jianqiao+Lu%2C+Qi+Zhu%2C+Jiahui+Gao%2C+Weiwen+Liu%2C+Yutai+Hou%2C+Xingshan+Zeng%2C+Yasheng+Wang%2C+Lifeng+Shang%2C+et+al%2E+Planning%2C+creation%2C+usage%3A+Benchmarking+llms+for+comprehensive+too)
91. Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, et al. Metatool benchmark for large language models: Deciding whether to use tools and which to use. arXiv preprint arXiv:2310.03128, 2023d. [find](https://scholar.google.com/scholar?q=Yue+Huang%2C+Jiawen+Shi%2C+Yuan+Li%2C+Chenrui+Fan%2C+Siyuan+Wu%2C+Qihui+Zhang%2C+Yixin+Liu%2C+Pan+Zhou%2C+Yao+Wan%2C+Neil+Zhenqiang+Gong%2C+et+al%2E+Metatool+benchmark+for+large+language+models%3A+Deciding+whether+to+use+too)
92. Yutan Huang, Tanjila Kanij, Anuradha Madugalla, Shruti Mahajan, Chetan Arora, and John Grundy. Unlocking adaptive user experience with generative ai, 2024d. [find](https://scholar.google.com/scholar?q=Yutan+Huang%2C+Tanjila+Kanij%2C+Anuradha+Madugalla%2C+Shruti+Mahajan%2C+Chetan+Arora%2C+and+John+Grundy%2E+Unlocking+adaptive+user+experience+with+generative+ai%2C+2024d%2E)
93. Samuel Humeau, Kurt Shuster, Marie-Anne Lachaux, and Jason Weston. Poly-encoders: Transformer architectures and pre-training strategies for fast and accurate multi-sentence scoring. arXiv preprint arXiv:1905.01969, 2019. — [arXiv:1905.01969](https://arxiv.org/abs/1905.01969) [find](https://scholar.google.com/scholar?q=Samuel+Humeau%2C+Kurt+Shuster%2C+Marie%2DAnne+Lachaux%2C+and+Jason+Weston%2E+Poly%2Dencoders%3A+Transformer+architectures+and+pre%2Dtraining+strategies+for+fast+and+accurate+multi%2Dsentence+scoring%2E+arXiv+preprint+arX)
94. Pegah Jandaghi, XiangHai Sheng, Xinyi Bai, Jay Pujara, and Hakim Sidahmed. Faithful persona-based conversational dataset generation with large language models. arXiv preprint arXiv:2312.10007, 2023. [find](https://scholar.google.com/scholar?q=Pegah+Jandaghi%2C+XiangHai+Sheng%2C+Xinyi+Bai%2C+Jay+Pujara%2C+and+Hakim+Sidahmed%2E+Faithful+persona%2Dbased+conversational+dataset+generation+with+large+language+models%2E+arXiv+preprint+arXiv%3A2312%2E10007%2C+2023%2E)
95. Joel Jang, Seungone Kim, Bill Yuchen Lin, Yizhong Wang, Jack Hessel, Luke Zettlemoyer, Hannaneh Hajishirzi, Yejin Choi, and Prithviraj Ammanabrolu. Personalized soups: Personalized large language model alignment via post-hoc parameter merging. arXiv preprint arXiv:2310.11564, 2023. [find](https://scholar.google.com/scholar?q=Joel+Jang%2C+Seungone+Kim%2C+Bill+Yuchen+Lin%2C+Yizhong+Wang%2C+Jack+Hessel%2C+Luke+Zettlemoyer%2C+Hannaneh+Hajishirzi%2C+Yejin+Choi%2C+and+Prithviraj+Ammanabrolu%2E+Personalized+soups%3A+Personalized+large+language+mode)
96. Yoonna Jang, Jungwoo Lim, Yuna Hur, Dongsuk Oh, Suhyune Son, Yeonsoo Lee, Donghoon Shin, Seungryong Kim, and Heuiseok Lim. Call for customized conversation: Customized conversation grounding persona and knowledge. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 36, pp. 10803… [find](https://scholar.google.com/scholar?q=Yoonna+Jang%2C+Jungwoo+Lim%2C+Yuna+Hur%2C+Dongsuk+Oh%2C+Suhyune+Son%2C+Yeonsoo+Lee%2C+Donghoon+Shin%2C+Seungryong+Kim%2C+and+Heuiseok+Lim%2E+Call+for+customized+conversation%3A+Customized+conversation+grounding+persona+a)
97. Dietmar Jannach, Ahtsham Manzoor, Wanling Cai, and Li Chen. A survey on conversational recommender systems. ACM Computing Surveys (CSUR), 54(5):1–36, 2021. [find](https://scholar.google.com/scholar?q=Dietmar+Jannach%2C+Ahtsham+Manzoor%2C+Wanling+Cai%2C+and+Li+Chen%2E+A+survey+on+conversational+recommender+systems%2E+ACM+Computing+Surveys+%28CSUR%29%2C+54%285%29%3A1%E2%80%9336%2C+2021%2E)
98. Guangyuan Jiang, Manjie Xu, Song-Chun Zhu, Wenjuan Han, Chi Zhang, and Yixin Zhu. Evaluating and inducing personality in pre-trained language models, 2023a. [find](https://scholar.google.com/scholar?q=Guangyuan+Jiang%2C+Manjie+Xu%2C+Song%2DChun+Zhu%2C+Wenjuan+Han%2C+Chi+Zhang%2C+and+Yixin+Zhu%2E+Evaluating+and+inducing+personality+in+pre%2Dtrained+language+models%2C+2023a%2E)
99. Zhengbao Jiang, Frank Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, and Graham Neubig. Active retrieval augmented generation. In Houda Bouamor, Juan Pino, and Kalika Bali (eds.), Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing… [find](https://scholar.google.com/scholar?q=Zhengbao+Jiang%2C+Frank+Xu%2C+Luyu+Gao%2C+Zhiqing+Sun%2C+Qian+Liu%2C+Jane+Dwivedi%2DYu%2C+Yiming+Yang%2C+Jamie+Callan%2C+and+Graham+Neubig%2E+Active+retrieval+augmented+generation%2E+In+Houda+Bouamor%2C+Juan+Pino%2C+and+Kalika)
100. Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer Ullman, Antonio Torralba, Joshua B. Tenenbaum, and Tianmin Shu. Mmtom-qa: Multimodal theory of mind question answering, 2024. [find](https://scholar.google.com/scholar?q=Chuanyang+Jin%2C+Yutong+Wu%2C+Jing+Cao%2C+Jiannan+Xiang%2C+Yen%2DLing+Kuo%2C+Zhiting+Hu%2C+Tomer+Ullman%2C+Antonio+Torralba%2C+Joshua+B%2E+Tenenbaum%2C+and+Tianmin+Shu%2E+Mmtom%2Dqa%3A+Multimodal+theory+of+mind+question+answerin)
101. Wang-Cheng Kang, Jianmo Ni, Nikhil Mehta, Maheswaran Sathiamoorthy, Lichan Hong, Ed Chi, and Derek Zhiyuan Cheng. Do llms understand user preferences? evaluating llms on user rating prediction, 2023. [find](https://scholar.google.com/scholar?q=Wang%2DCheng+Kang%2C+Jianmo+Ni%2C+Nikhil+Mehta%2C+Maheswaran+Sathiamoorthy%2C+Lichan+Hong%2C+Ed+Chi%2C+and+Derek+Zhiyuan+Cheng%2E+Do+llms+understand+user+preferences%3F+evaluating+llms+on+user+rating+prediction%2C+2023%2E)
102. Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. Dense passage retrieval for open-domain question answering. In Bonnie Webber, Trevor Cohn, Yulan He, and Yang Liu (eds.), Proceedings of the 2020 Conference on Empirical Methods in Natur… [find](https://scholar.google.com/scholar?q=Vladimir+Karpukhin%2C+Barlas+Oguz%2C+Sewon+Min%2C+Patrick+Lewis%2C+Ledell+Wu%2C+Sergey+Edunov%2C+Danqi+Chen%2C+and+Wen%2Dtau+Yih%2E+Dense+passage+retrieval+for+open%2Ddomain+question+answering%2E+In+Bonnie+Webber%2C+Trevor+C) [our card](https://md.research.elamur.ai/free/en/papers/karpukhin-2020-dense-passage-retrieval-open-domain/)
103. Saketh Reddy Karra, Son The Nguyen, and Theja Tulabandhula. Estimating the personality of white-box language models. arXiv preprint arXiv:2204.12000, 2022. — [arXiv:2204.12000](https://arxiv.org/abs/2204.12000) [find](https://scholar.google.com/scholar?q=Saketh+Reddy+Karra%2C+Son+The+Nguyen%2C+and+Theja+Tulabandhula%2E+Estimating+the+personality+of+white%2Dbox+language+models%2E+arXiv+preprint+arXiv%3A2204%2E12000%2C+2022%2E+%E2%80%94+%5BarXiv%3A2204%2E12000%5D%28https%3A%2F%2Farxiv%2Eorg%2Fabs%2F2)
104. Gangwoo Kim, Sungdong Kim, Byeongguk Jeon, Joonsuk Park, and Jaewoo Kang. Tree of clarifications: Answering ambiguous questions with retrieval-augmented large language models. In Houda Bouamor, Juan Pino, and Kalika Bali (eds.), Proceedings of the 2023 Conference on Empirical Methods in Natural Lang… [find](https://scholar.google.com/scholar?q=Gangwoo+Kim%2C+Sungdong+Kim%2C+Byeongguk+Jeon%2C+Joonsuk+Park%2C+and+Jaewoo+Kang%2E+Tree+of+clarifications%3A+Answering+ambiguous+questions+with+retrieval%2Daugmented+large+language+models%2E+In+Houda+Bouamor%2C+Juan+P)
105. Hana Kim, Kai Tzu iunn Ong, Seoyeon Kim, Dongha Lee, and Jinyoung Yeo. Commonsense-augmented memory construction and management in long-term conversations via context-aware persona refinement, 2024. [find](https://scholar.google.com/scholar?q=Hana+Kim%2C+Kai+Tzu+iunn+Ong%2C+Seoyeon+Kim%2C+Dongha+Lee%2C+and+Jinyoung+Yeo%2E+Commonsense%2Daugmented+memory+construction+and+management+in+long%2Dterm+conversations+via+context%2Daware+persona+refinement%2C+2024%2E)
106. Hyunwoo Kim, Jack Hessel, Liwei Jiang, Peter West, Ximing Lu, Youngjae Yu, Pei Zhou, Ronan Bras, Malihe Alikhani, Gunhee Kim, Maarten Sap, and Yejin Choi. SODA: Million-scale dialogue distillation with social commonsense contextualization. In Houda Bouamor, Juan Pino, and Kalika Bali (eds.), Proceed… [find](https://scholar.google.com/scholar?q=Hyunwoo+Kim%2C+Jack+Hessel%2C+Liwei+Jiang%2C+Peter+West%2C+Ximing+Lu%2C+Youngjae+Yu%2C+Pei+Zhou%2C+Ronan+Bras%2C+Malihe+Alikhani%2C+Gunhee+Kim%2C+Maarten+Sap%2C+and+Yejin+Choi%2E+SODA%3A+Million%2Dscale+dialogue+distillation+wit) [our card](https://md.research.elamur.ai/free/en/papers/kim-2023-soda-million-scale-dialogue-distillation/)
107. Hyunwoo Kim, Melanie Sclar, Xuhui Zhou, Ronan Bras, Gunhee Kim, Yejin Choi, and Maarten Sap. Fantom: A benchmark for stress-testing machine theory of mind in interactions. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pp. 14397–14413, 2023c. [find](https://scholar.google.com/scholar?q=Hyunwoo+Kim%2C+Melanie+Sclar%2C+Xuhui+Zhou%2C+Ronan+Bras%2C+Gunhee+Kim%2C+Yejin+Choi%2C+and+Maarten+Sap%2E+Fantom%3A+A+benchmark+for+stress%2Dtesting+machine+theory+of+mind+in+interactions%2E+In+Proceedings+of+the+2023+C)
108. Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, and Seong Joon Oh. Propile: Probing privacy leakage in large language models. In Thirty-seventh Conference on Neural Information Processing Systems, 2023d. [find](https://scholar.google.com/scholar?q=Siwon+Kim%2C+Sangdoo+Yun%2C+Hwaran+Lee%2C+Martin+Gubri%2C+Sungroh+Yoon%2C+and+Seong+Joon+Oh%2E+Propile%3A+Probing+privacy+leakage+in+large+language+models%2E+In+Thirty%2Dseventh+Conference+on+Neural+Information+Process)
109. Aobo Kong, Shiwan Zhao, Hao Chen, Qicheng Li, Yong Qin, Ruiqi Sun, and Xin Zhou. Better zero-shot reasoning with role-play prompting, 2023. [find](https://scholar.google.com/scholar?q=Aobo+Kong%2C+Shiwan+Zhao%2C+Hao+Chen%2C+Qicheng+Li%2C+Yong+Qin%2C+Ruiqi+Sun%2C+and+Xin+Zhou%2E+Better+zero%2Dshot+reasoning+with+role%2Dplay+prompting%2C+2023%2E)
110. Michal Kosinski. Theory of mind might have spontaneously emerged in large language models. arXiv preprint arXiv:2302.02083, 2023. [find](https://scholar.google.com/scholar?q=Michal+Kosinski%2E+Theory+of+mind+might+have+spontaneously+emerged+in+large+language+models%2E+arXiv+preprint+arXiv%3A2302%2E02083%2C+2023%2E) [our card](https://md.research.elamur.ai/free/en/papers/kosinski-2023-evaluating-large-language-models-theory/)
111. Hadas Kotek, Rikker Dockum, and David Sun. Gender bias and stereotypes in large language models. In Proceedings of The ACM Collective Intelligence Conference, CI ’23, pp. 12–24, New York, NY, USA, 2023. Association for Computing Machinery. ISBN 9798400701139. doi: 10.1145/3582269.3615599. URL https:… — [doi:10.1145/3582269.3615599](https://doi.org/10.1145/3582269.3615599) [find](https://scholar.google.com/scholar?q=Hadas+Kotek%2C+Rikker+Dockum%2C+and+David+Sun%2E+Gender+bias+and+stereotypes+in+large+language+models%2E+In+Proceedings+of+The+ACM+Collective+Intelligence+Conference%2C+CI+%E2%80%9923%2C+pp%2E+12%E2%80%9324%2C+New+York%2C+NY%2C+USA%2C+202)
112. Grgur Kovač, Masataka Sawayama, Rémy Portelas, Cédric Colas, Peter Ford Dominey, and Pierre-Yves Oudeyer. Large language models as superpositions of cultural perspectives. arXiv preprint arXiv:2307.07870, 2023. — [arXiv:2307.07870](https://arxiv.org/abs/2307.07870) [find](https://scholar.google.com/scholar?q=Grgur+Kova%C4%8D%2C+Masataka+Sawayama%2C+R%C3%A9my+Portelas%2C+C%C3%A9dric+Colas%2C+Peter+Ford+Dominey%2C+and+Pierre%2DYves+Oudeyer%2E+Large+language+models+as+superpositions+of+cultural+perspectives%2E+arXiv+preprint+arXiv%3A2307%2E07)
113. Ashutosh Kumar, Sagarika Singh, Shiv Vignesh Murty, and Swathy Ragupathy. The ethics of interaction: Mitigating security threats in llms, 2024. [find](https://scholar.google.com/scholar?q=Ashutosh+Kumar%2C+Sagarika+Singh%2C+Shiv+Vignesh+Murty%2C+and+Swathy+Ragupathy%2E+The+ethics+of+interaction%3A+Mitigating+security+threats+in+llms%2C+2024%2E)
114. Peep Küngas, Jinghai Rao, and Mihhail Matskin. Symbolic agent negotiation for semantic web service exploitation. In Advances in Web-Age Information Management: 5th International Conference, WAIM 2004, Dalian, China, July 15-17, 2004 5, pp. 458–467. [find](https://scholar.google.com/scholar?q=Peep+K%C3%BCngas%2C+Jinghai+Rao%2C+and+Mihhail+Matskin%2E+Symbolic+agent+negotiation+for+semantic+web+service+exploitation%2E+In+Advances+in+Web%2DAge+Information+Management%3A+5th+International+Conference%2C+WAIM+2004%2C)
115. Yoon Kyung Lee, Inju Lee, Minjung Shin, Seoyeon Bae, and Sowon Hahn. Chain of empathy: Enhancing empathetic response of large language models based on psychotherapy models. arXiv preprint arXiv:2311.04915, 2023. — [arXiv:2311.04915](https://arxiv.org/abs/2311.04915) [find](https://scholar.google.com/scholar?q=Yoon+Kyung+Lee%2C+Inju+Lee%2C+Minjung+Shin%2C+Seoyeon+Bae%2C+and+Sowon+Hahn%2E+Chain+of+empathy%3A+Enhancing+empathetic+response+of+large+language+models+based+on+psychotherapy+models%2E+arXiv+preprint+arXiv%3A2311%2E0)
116. Young-Jun Lee, Dokyong Lee, Junyoung Youn, Kyeongjin Oh, Byungsoo Ko, Jonghwan Hyeon, and Ho-Jin Choi. Stark: Social long-term multi-modal conversation with persona commonsense knowledge, 2024. URL https://arxiv.org/abs/2407.03958. [↗](https://arxiv.org/abs/2407.03958)
117. Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, and Douwe Kiela. Retrieval-augmented generation for knowledge-intensive nlp tasks. In Proceedings of the 34th International Con… [find](https://scholar.google.com/scholar?q=Patrick+Lewis%2C+Ethan+Perez%2C+Aleksandra+Piktus%2C+Fabio+Petroni%2C+Vladimir+Karpukhin%2C+Naman+Goyal%2C+Heinrich+K%C3%BCttler%2C+Mike+Lewis%2C+Wen%2Dtau+Yih%2C+Tim+Rockt%C3%A4schel%2C+Sebastian+Riedel%2C+and+Douwe+Kiela%2E+Retrieval%2D)
118. Cheng Li, Ziang Leng, Chenxi Yan, Junyi Shen, Hao Wang, Weishi MI, Yaying Fei, Xiaoyang Feng, Song Yan, HaoSheng Wang, et al. Chatharuhi: Reviving anime character in reality via large language model. arXiv preprint arXiv:2308.09597, 2023a. [find](https://scholar.google.com/scholar?q=Cheng+Li%2C+Ziang+Leng%2C+Chenxi+Yan%2C+Junyi+Shen%2C+Hao+Wang%2C+Weishi+MI%2C+Yaying+Fei%2C+Xiaoyang+Feng%2C+Song+Yan%2C+HaoSheng+Wang%2C+et+al%2E+Chatharuhi%3A+Reviving+anime+character+in+reality+via+large+language+model%2E+)
119. Cheng Li, Mengzhou Chen, Jindong Wang, Sunayana Sitaram, and Xing Xie. Culturellm: Incorporating cultural differences into large language models. arXiv preprint arXiv:2402.10946, 2024a. [find](https://scholar.google.com/scholar?q=Cheng+Li%2C+Mengzhou+Chen%2C+Jindong+Wang%2C+Sunayana+Sitaram%2C+and+Xing+Xie%2E+Culturellm%3A+Incorporating+cultural+differences+into+large+language+models%2E+arXiv+preprint+arXiv%3A2402%2E10946%2C+2024a%2E) [our card](https://md.research.elamur.ai/free/en/papers/li-2024-culturellm-incorporating-cultural-differences-large/)
120. Dacheng Li, Rulin Shao, Anze Xie, Ying Sheng, Lianmin Zheng, Joseph Gonzalez, Ion Stoica, Xuezhe Ma, and Hao Zhang. How long can context length of open-source LLMs truly promise? In NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following, 2023b. URL [https://openreview.net/](https://openreview.net/) forum?id=Lyw… [↗](https://openreview.net/)
121. Dawei Li, Hengyuan Zhang, Yanran Li, and Shiping Yang. Multi-level contrastive learning for script-based character understanding. arXiv preprint arXiv:2310.13231, 2023c. [find](https://scholar.google.com/scholar?q=Dawei+Li%2C+Hengyuan+Zhang%2C+Yanran+Li%2C+and+Shiping+Yang%2E+Multi%2Dlevel+contrastive+learning+for+script%2Dbased+character+understanding%2E+arXiv+preprint+arXiv%3A2310%2E13231%2C+2023c%2E)
122. Guohao Li, Hasan Hammoud, Hani Itani, Dmitrii Khizbullin, and Bernard Ghanem. Camel: Communicative agents for "mind" exploration of large language model society. In A. Oh, T. Neumann, A. Globerson, K. Saenko, M. Hardt, and S. Levine (eds.), Advances in Neural Information Processing Systems, volume 3… [find](https://scholar.google.com/scholar?q=Guohao+Li%2C+Hasan+Hammoud%2C+Hani+Itani%2C+Dmitrii+Khizbullin%2C+and+Bernard+Ghanem%2E+Camel%3A+Communicative+agents+for+%22mind%22+exploration+of+large+language+model+society%2E+In+A%2E+Oh%2C+T%2E+Neumann%2C+A%2E+Globerson%2C+K%2E) [our card](https://md.research.elamur.ai/free/en/papers/li-2023-camel-communicative-agents-mind/)
123. Haoran Li, Dadi Guo, Wei Fan, Mingshi Xu, Jie Huang, Fanpu Meng, and Yangqiu Song. Multi-step jailbreaking privacy attacks on ChatGPT. In Houda Bouamor, Juan Pino, and Kalika Bali (eds.), Findings of the Association for Computational Linguistics: EMNLP 2023, pp. 4138–4153, Singapore, December 2023e.… [find](https://scholar.google.com/scholar?q=Haoran+Li%2C+Dadi+Guo%2C+Wei+Fan%2C+Mingshi+Xu%2C+Jie+Huang%2C+Fanpu+Meng%2C+and+Yangqiu+Song%2E+Multi%2Dstep+jailbreaking+privacy+attacks+on+ChatGPT%2E+In+Houda+Bouamor%2C+Juan+Pino%2C+and+Kalika+Bali+%28eds%2E%29%2C+Findings+of+) [our card](https://md.research.elamur.ai/free/en/papers/li-2023-multi-step-jailbreaking-privacy-attacks/)
124. Jiwei Li, Michel Galley, Chris Brockett, Georgios Spithourakis, Jianfeng Gao, and William B Dolan. A persona-based neural conversation model. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 994–1003, 2016. [find](https://scholar.google.com/scholar?q=Jiwei+Li%2C+Michel+Galley%2C+Chris+Brockett%2C+Georgios+Spithourakis%2C+Jianfeng+Gao%2C+and+William+B+Dolan%2E+A+persona%2Dbased+neural+conversation+model%2E+In+Proceedings+of+the+54th+Annual+Meeting+of+the+Associati) [our card](https://md.research.elamur.ai/free/en/papers/li-2016-persona-based-neural-conversation-model/)
125. Juntao Li, Chang Liu, Chongyang Tao, Zhangming Chan, Dongyan Zhao, Min Zhang, and Rui Yan. Dialogue history matters! personalized response selection in multi-turn retrieval-based chatbots. ACM Transactions on Information Systems (TOIS), 39(4):1–25, 2021. [find](https://scholar.google.com/scholar?q=Juntao+Li%2C+Chang+Liu%2C+Chongyang+Tao%2C+Zhangming+Chan%2C+Dongyan+Zhao%2C+Min+Zhang%2C+and+Rui+Yan%2E+Dialogue+history+matters%21+personalized+response+selection+in+multi%2Dturn+retrieval%2Dbased+chatbots%2E+ACM+Transac)
126. Junyi Li, Ninareh Mehrabi, Charith Peris, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard Zemel, and Rahul Gupta. On the steerability of large language models toward data-driven personas. arXiv preprint arXiv:2311.04978v1, 2023f. [find](https://scholar.google.com/scholar?q=Junyi+Li%2C+Ninareh+Mehrabi%2C+Charith+Peris%2C+Palash+Goyal%2C+Kai%2DWei+Chang%2C+Aram+Galstyan%2C+Richard+Zemel%2C+and+Rahul+Gupta%2E+On+the+steerability+of+large+language+models+toward+data%2Ddriven+personas%2E+arXiv+pr)
127. Minghao Li, Yingxiu Zhao, Bowen Yu, Feifan Song, Hangyu Li, Haiyang Yu, Zhoujun Li, Fei Huang, and Yongbin Li. API-bank: A comprehensive benchmark for tool-augmented LLMs. In Houda Bouamor, Juan Pino, and Kalika Bali (eds.), Proceedings of the 2023 Conference on Empirical Methods in Natural Language… [find](https://scholar.google.com/scholar?q=Minghao+Li%2C+Yingxiu+Zhao%2C+Bowen+Yu%2C+Feifan+Song%2C+Hangyu+Li%2C+Haiyang+Yu%2C+Zhoujun+Li%2C+Fei+Huang%2C+and+Yongbin+Li%2E+API%2Dbank%3A+A+comprehensive+benchmark+for+tool%2Daugmented+LLMs%2E+In+Houda+Bouamor%2C+Juan+Pino%2C) [our card](https://md.research.elamur.ai/free/en/papers/li-2023-api-bank-comprehensive-benchmark-tool/)
128. Minghao Li, Yingxiu Zhao, Bowen Yu, Feifan Song, Hangyu Li, Haiyang Yu, Zhoujun Li, Fei Huang, and Yongbin Li. Api-bank: A comprehensive benchmark for tool-augmented llms. In The 2023 Conference on Empirical Methods in Natural Language Processing, 2023h. [find](https://scholar.google.com/scholar?q=Minghao+Li%2C+Yingxiu+Zhao%2C+Bowen+Yu%2C+Feifan+Song%2C+Hangyu+Li%2C+Haiyang+Yu%2C+Zhoujun+Li%2C+Fei+Huang%2C+and+Yongbin+Li%2E+Api%2Dbank%3A+A+comprehensive+benchmark+for+tool%2Daugmented+llms%2E+In+The+2023+Conference+on+Em) [our card](https://md.research.elamur.ai/free/en/papers/li-2023-api-bank-comprehensive-benchmark-tool/)
129. Xingxuan Li, Yutong Li, Linlin Liu, Lidong Bing, and Shafiq Joty. Is gpt-3 a psychopath? evaluating large language models from a psychological perspective. arXiv preprint arXiv:2212.10529, 2022. — [arXiv:2212.10529](https://arxiv.org/abs/2212.10529) [find](https://scholar.google.com/scholar?q=Xingxuan+Li%2C+Yutong+Li%2C+Linlin+Liu%2C+Lidong+Bing%2C+and+Shafiq+Joty%2E+Is+gpt%2D3+a+psychopath%3F+evaluating+large+language+models+from+a+psychological+perspective%2E+arXiv+preprint+arXiv%3A2212%2E10529%2C+2022%2E+%E2%80%94+%5Bar)
130. Xinyu Li, Zachary C. Lipton, and Liu Leqi. Personalized language modeling from personalized human feedback, 2024b. [find](https://scholar.google.com/scholar?q=Xinyu+Li%2C+Zachary+C%2E+Lipton%2C+and+Liu+Leqi%2E+Personalized+language+modeling+from+personalized+human+feedback%2C+2024b%2E)
131. Yuan Li, Yue Huang, Yuli Lin, Siyuan Wu, Yao Wan, and Lichao Sun. I think, therefore i am: Benchmarking awareness of large language models using awarebench, 2024c. [find](https://scholar.google.com/scholar?q=Yuan+Li%2C+Yue+Huang%2C+Yuli+Lin%2C+Siyuan+Wu%2C+Yao+Wan%2C+and+Lichao+Sun%2E+I+think%2C+therefore+i+am%3A+Benchmarking+awareness+of+large+language+models+using+awarebench%2C+2024c%2E)
132. Yuanchun Li, Hao Wen, Weijun Wang, Xiangyu Li, Yizhen Yuan, Guohong Liu, Jiacheng Liu, Wenxing Xu, Xiang Wang, Yi Sun, Rui Kong, Yile Wang, Hanfei Geng, Jian Luan, Xuefeng Jin, Zilong Ye, Guanjing Xiong, Fan Zhang, Xiang Li, Mengwei Xu, Zhijun Li, Peng Li, Yang Liu, Ya-Qin Zhang, and Yunxin Liu. Per… [find](https://scholar.google.com/scholar?q=Yuanchun+Li%2C+Hao+Wen%2C+Weijun+Wang%2C+Xiangyu+Li%2C+Yizhen+Yuan%2C+Guohong+Liu%2C+Jiacheng+Liu%2C+Wenxing+Xu%2C+Xiang+Wang%2C+Yi+Sun%2C+Rui+Kong%2C+Yile+Wang%2C+Hanfei+Geng%2C+Jian+Luan%2C+Xuefeng+Jin%2C+Zilong+Ye%2C+Guanjing+Xio)
133. Jianxun Lian, Yuxuan Lei, Xu Huang, Jing Yao, Wei Xu, and Xing Xie. Recai: Leveraging large language models for next-generation recommender systems. arXiv preprint arXiv:2403.06465, 2024. — [arXiv:2403.06465](https://arxiv.org/abs/2403.06465) [find](https://scholar.google.com/scholar?q=Jianxun+Lian%2C+Yuxuan+Lei%2C+Xu+Huang%2C+Jing+Yao%2C+Wei+Xu%2C+and+Xing+Xie%2E+Recai%3A+Leveraging+large+language+models+for+next%2Dgeneration+recommender+systems%2E+arXiv+preprint+arXiv%3A2403%2E06465%2C+2024%2E+%E2%80%94+%5BarXiv%3A240)
134. Jonathan Light, Min Cai, Sheng Shen, and Ziniu Hu. From text to tactic: Evaluating llms playing the game of avalon. In NeurIPS 2023 Foundation Models for Decision Making Workshop, 2023. URL [https://openreview.net/forum?id=ltUrSryS0K](https://openreview.net/forum?id=ltUrSryS0K). [↗](https://openreview.net/forum?id=ltUrSryS0K)
135. Timothy P Lillicrap, Jonathan J Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver, and Daan Wierstra. Continuous control with deep reinforcement learning. arXiv preprint arXiv:1509.02971, 2015. [find](https://scholar.google.com/scholar?q=Timothy+P+Lillicrap%2C+Jonathan+J+Hunt%2C+Alexander+Pritzel%2C+Nicolas+Heess%2C+Tom+Erez%2C+Yuval+Tassa%2C+David+Silver%2C+and+Daan+Wierstra%2E+Continuous+control+with+deep+reinforcement+learning%2E+arXiv+preprint+arXi)
136. Chin-Yew Lin. ROUGE: A package for automatic evaluation of summaries. In Text Summarization Branches Out, pp. 74–81, Barcelona, Spain, July 2004. Association for Computational Linguistics. URL [https://www.aclweb.org/anthology/W04-1013](https://www.aclweb.org/anthology/W04-1013). [↗](https://www.aclweb.org/anthology/W04-1013) [our card](https://md.research.elamur.ai/free/en/papers/lin-2004-rouge-package-automatic-evaluation-summaries/)
137. Jiaju Lin, Haoran Zhao, Aochi Zhang, Yiting Wu, Huqiuyue Ping, and Qin Chen. Agentsims: An open-source sandbox for large language model evaluation, 2023. [find](https://scholar.google.com/scholar?q=Jiaju+Lin%2C+Haoran+Zhao%2C+Aochi+Zhang%2C+Yiting+Wu%2C+Huqiuyue+Ping%2C+and+Qin+Chen%2E+Agentsims%3A+An+open%2Dsource+sandbox+for+large+language+model+evaluation%2C+2023%2E)
138. Pantelis Linardatos, Vasilis Papastefanopoulos, and Sotiris Kotsiantis. Explainable ai: A review of machine learning interpretability methods. Entropy, 23(1):18, 2020. [find](https://scholar.google.com/scholar?q=Pantelis+Linardatos%2C+Vasilis+Papastefanopoulos%2C+and+Sotiris+Kotsiantis%2E+Explainable+ai%3A+A+review+of+machine+learning+interpretability+methods%2E+Entropy%2C+23%281%29%3A18%2C+2020%2E)
139. Hao Liu, Wilson Yan, Matei Zaharia, and Pieter Abbeel. World model on million-length video and language with ringattention. arXiv preprint arXiv:2402.08268, 2024. [find](https://scholar.google.com/scholar?q=Hao+Liu%2C+Wilson+Yan%2C+Matei+Zaharia%2C+and+Pieter+Abbeel%2E+World+model+on+million%2Dlength+video+and+language+with+ringattention%2E+arXiv+preprint+arXiv%3A2402%2E08268%2C+2024%2E)
140. Junling Liu, Chao Liu, Peilin Zhou, Renjie Lv, Kang Zhou, and Yan Zhang. Is chatgpt a good recommender? a preliminary study, 2023a. [find](https://scholar.google.com/scholar?q=Junling+Liu%2C+Chao+Liu%2C+Peilin+Zhou%2C+Renjie+Lv%2C+Kang+Zhou%2C+and+Yan+Zhang%2E+Is+chatgpt+a+good+recommender%3F+a+preliminary+study%2C+2023a%2E)
141. Nelson F Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang. Lost in the middle: How language models use long contexts. arXiv preprint arXiv:2307.03172, 2023b. [find](https://scholar.google.com/scholar?q=Nelson+F+Liu%2C+Kevin+Lin%2C+John+Hewitt%2C+Ashwin+Paranjape%2C+Michele+Bevilacqua%2C+Fabio+Petroni%2C+and+Percy+Liang%2E+Lost+in+the+middle%3A+How+language+models+use+long+contexts%2E+arXiv+preprint+arXiv%3A2307%2E03172%2C+) [our card](https://md.research.elamur.ai/free/en/papers/liu-2023-lost-middle-language-models-use/)
142. Qijiong Liu, Tetsuya Sakai, Nuo Chen, and Xiao-Ming Wu. Once: Boosting content-based recommendation with both open- and closed-source large language models, 2023c. [find](https://scholar.google.com/scholar?q=Qijiong+Liu%2C+Tetsuya+Sakai%2C+Nuo+Chen%2C+and+Xiao%2DMing+Wu%2E+Once%3A+Boosting+content%2Dbased+recommendation+with+both+open%2D+and+closed%2Dsource+large+language+models%2C+2023c%2E)
143. Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Yuxian Gu, Hangliang Ding, Kai Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Shengqi Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, and Jie Tang. Agentbench: Evaluating l… [find](https://scholar.google.com/scholar?q=Xiao+Liu%2C+Hao+Yu%2C+Hanchen+Zhang%2C+Yifan+Xu%2C+Xuanyu+Lei%2C+Hanyu+Lai%2C+Yu+Gu%2C+Yuxian+Gu%2C+Hangliang+Ding%2C+Kai+Men%2C+Kejuan+Yang%2C+Shudan+Zhang%2C+Xiang+Deng%2C+Aohan+Zeng%2C+Zhengxiao+Du%2C+Chenhui+Zhang%2C+Shengqi+She) [our card](https://md.research.elamur.ai/free/en/papers/liu-2023-agentbench-evaluating-llms-agents/)
144. Yifan Liu, Wei Wei, Jiayi Liu, Xianling Mao, Rui Fang, and Dangyang Chen. Improving personality consistency in conversation by persona extending. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management, pp. 1350–1359, 2022. [find](https://scholar.google.com/scholar?q=Yifan+Liu%2C+Wei+Wei%2C+Jiayi+Liu%2C+Xianling+Mao%2C+Rui+Fang%2C+and+Dangyang+Chen%2E+Improving+personality+consistency+in+conversation+by+persona+extending%2E+In+Proceedings+of+the+31st+ACM+International+Conferenc)
145. Keming Lu, Bowen Yu, Chang Zhou, and Jingren Zhou. Large language models are superpositions of all characters: Attaining arbitrary role-play via self-alignment. In Lun-Wei Ku, Andre Martins, and Vivek Srikumar (eds.), Proceedings of the 62nd Annual Meeting of the Association for Computational Lingui… [find](https://scholar.google.com/scholar?q=Keming+Lu%2C+Bowen+Yu%2C+Chang+Zhou%2C+and+Jingren+Zhou%2E+Large+language+models+are+superpositions+of+all+characters%3A+Attaining+arbitrary+role%2Dplay+via+self%2Dalignment%2E+In+Lun%2DWei+Ku%2C+Andre+Martins%2C+and+Vivek)
146. Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, and Jianfeng Gao. Chameleon: Plug-and-play compositional reasoning with large language models. In Thirty-seventh Conference on Neural Information Processing Systems, 2023. URL [https://openreview.net/](https://openreview.net/) forum?id=… [↗](https://openreview.net/) [our card](https://md.research.elamur.ai/free/en/papers/lu-2023-chameleon-plug-play-compositional-reasoning/)
147. Xiao Ma, Swaroop Mishra, Ariel Liu, Sophie Su, Jilin Chen, Chinmay Kulkarni, Heng-Tze Cheng, Quoc Le, and Ed Chi. Beyond chatbots: Explorellm for structured thoughts and personalized model responses. arXiv preprint arXiv:2312.00763, 2023a. — [arXiv:2312.00763](https://arxiv.org/abs/2312.00763) [find](https://scholar.google.com/scholar?q=Xiao+Ma%2C+Swaroop+Mishra%2C+Ariel+Liu%2C+Sophie+Su%2C+Jilin+Chen%2C+Chinmay+Kulkarni%2C+Heng%2DTze+Cheng%2C+Quoc+Le%2C+and+Ed+Chi%2E+Beyond+chatbots%3A+Explorellm+for+structured+thoughts+and+personalized+model+responses%2E+)
148. Xinbei Ma, Yeyun Gong, Pengcheng He, Hai Zhao, and Nan Duan. Query rewriting in retrieval-augmented large language models. In Houda Bouamor, Juan Pino, and Kalika Bali (eds.), Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pp. 5303–5315, Singapore, December 2… [find](https://scholar.google.com/scholar?q=Xinbei+Ma%2C+Yeyun+Gong%2C+Pengcheng+He%2C+Hai+Zhao%2C+and+Nan+Duan%2E+Query+rewriting+in+retrieval%2Daugmented+large+language+models%2E+In+Houda+Bouamor%2C+Juan+Pino%2C+and+Kalika+Bali+%28eds%2E%29%2C+Proceedings+of+the+2023+) [our card](https://md.research.elamur.ai/free/en/papers/ma-2023-query-rewriting-retrieval-augmented-large/)
149. Jessica Maghakian, Paul Mineiro, Kishan Panaganti, Mark Rucker, Akanksha Saran, and Cheng Tan. Personalized reward learning with interaction-grounded learning for recommender systems. In International Conference on Learning Representations, 2023. [find](https://scholar.google.com/scholar?q=Jessica+Maghakian%2C+Paul+Mineiro%2C+Kishan+Panaganti%2C+Mark+Rucker%2C+Akanksha+Saran%2C+and+Cheng+Tan%2E+Personalized+reward+learning+with+interaction%2Dgrounded+learning+for+recommender+systems%2E+In+International)
150. Yuanyuan Mao, Shuang Liu, Pengshuai Zhao, Qin Ni, Xin Lin, and Liang He. A review on machine theory of mind, 2023. [find](https://scholar.google.com/scholar?q=Yuanyuan+Mao%2C+Shuang+Liu%2C+Pengshuai+Zhao%2C+Qin+Ni%2C+Xin+Lin%2C+and+Liang+He%2E+A+review+on+machine+theory+of+mind%2C+2023%2E)
151. Microsoft. Microsoft copilot, 2024. URL [https://copilot.microsoft.com/](https://copilot.microsoft.com/). [↗](https://copilot.microsoft.com/)
152. Marilù Miotto, Nicola Rossberg, and Bennett Kleinberg. Who is GPT-3? an exploration of personality, values and demographics. In David Bamman, Dirk Hovy, David Jurgens, Katherine Keith, Brendan O’Connor, and Svitlana Volkova (eds.), Proceedings of the Fifth Workshop on Natural Language Processing and… [find](https://scholar.google.com/scholar?q=Maril%C3%B9+Miotto%2C+Nicola+Rossberg%2C+and+Bennett+Kleinberg%2E+Who+is+GPT%2D3%3F+an+exploration+of+personality%2C+values+and+demographics%2E+In+David+Bamman%2C+Dirk+Hovy%2C+David+Jurgens%2C+Katherine+Keith%2C+Brendan+O%E2%80%99Conno)
153. Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski, et al. Human-level control through deep reinforcement learning. nature, 518(7540):529–533, 2015. [find](https://scholar.google.com/scholar?q=Volodymyr+Mnih%2C+Koray+Kavukcuoglu%2C+David+Silver%2C+Andrei+A+Rusu%2C+Joel+Veness%2C+Marc+G+Bellemare%2C+Alex+Graves%2C+Martin+Riedmiller%2C+Andreas+K+Fidjeland%2C+Georg+Ostrovski%2C+et+al%2E+Human%2Dlevel+control+through+)
154. Ali Modarressi, Ayyoob Imani, Mohsen Fayyaz, and Hinrich Schütze. Ret-llm: Towards a general read-write memory for large language models. arXiv preprint arXiv:2305.14322, 2023. — [arXiv:2305.14322](https://arxiv.org/abs/2305.14322) [find](https://scholar.google.com/scholar?q=Ali+Modarressi%2C+Ayyoob+Imani%2C+Mohsen+Fayyaz%2C+and+Hinrich+Sch%C3%BCtze%2E+Ret%2Dllm%3A+Towards+a+general+read%2Dwrite+memory+for+large+language+models%2E+arXiv+preprint+arXiv%3A2305%2E14322%2C+2023%2E+%E2%80%94+%5BarXiv%3A2305%2E14322%5D%28ht)
155. Ishani Mondal, Shwetha Somasundaram, Anandhavelu Natarajan, Aparna Garimella, Sambaran Bandyopadhyay, and Jordan Boyd-Graber. Presentations by the humans and for the humans: Harnessing llms for generating persona-aware slides from documents. Proceedings of the 18th Conference of the European Chapter… [find](https://scholar.google.com/scholar?q=Ishani+Mondal%2C+Shwetha+Somasundaram%2C+Anandhavelu+Natarajan%2C+Aparna+Garimella%2C+Sambaran+Bandyopadhyay%2C+and+Jordan+Boyd%2DGraber%2E+Presentations+by+the+humans+and+for+the+humans%3A+Harnessing+llms+for+genera)
156. Wiktor Mucha, Florin Cuconasu, Naome A. Etori, Valia Kalokyri, and Giovanni Trappolini. Text2taste: A versatile egocentric vision system for intelligent reading assistance using large language model, 2024. [find](https://scholar.google.com/scholar?q=Wiktor+Mucha%2C+Florin+Cuconasu%2C+Naome+A%2E+Etori%2C+Valia+Kalokyri%2C+and+Giovanni+Trappolini%2E+Text2taste%3A+A+versatile+egocentric+vision+system+for+intelligent+reading+assistance+using+large+language+model%2C+)
157. Sheshera Mysore, Zhuoran Lu, Mengting Wan, Longqi Yang, Steve Menezes, Tina Baghaee, Emmanuel Barajas Gonzalez, Jennifer Neville, and Tara Safavi. Pearl: Personalizing large language model writing assistants with generation-calibrated retrievers. arXiv preprint arXiv:2311.09180v1, 2023. [find](https://scholar.google.com/scholar?q=Sheshera+Mysore%2C+Zhuoran+Lu%2C+Mengting+Wan%2C+Longqi+Yang%2C+Steve+Menezes%2C+Tina+Baghaee%2C+Emmanuel+Barajas+Gonzalez%2C+Jennifer+Neville%2C+and+Tara+Safavi%2E+Pearl%3A+Personalizing+large+language+model+writing+ass)
158. Tarek Naous, Michael J. Ryan, Alan Ritter, and Wei Xu. Having beer after prayer? measuring cultural bias in large language models, 2024. [find](https://scholar.google.com/scholar?q=Tarek+Naous%2C+Michael+J%2E+Ryan%2C+Alan+Ritter%2C+and+Wei+Xu%2E+Having+beer+after+prayer%3F+measuring+cultural+bias+in+large+language+models%2C+2024%2E) [our card](https://md.research.elamur.ai/free/en/papers/naous-2023-having-beer-after-prayer-measuring/)
159. Seth Neel, Aaron Roth, and Saeed Sharifi-Malvajerdi. Descent-to-delete: Gradient-based methods for machine unlearning. In Algorithmic Learning Theory, pp. 931–962. PMLR, 2021. [find](https://scholar.google.com/scholar?q=Seth+Neel%2C+Aaron+Roth%2C+and+Saeed+Sharifi%2DMalvajerdi%2E+Descent%2Dto%2Ddelete%3A+Gradient%2Dbased+methods+for+machine+unlearning%2E+In+Algorithmic+Learning+Theory%2C+pp%2E+931%E2%80%93962%2E+PMLR%2C+2021%2E)
160. Man Tik Ng, Hui Tung Tse, Jen tse Huang, Jingjing Li, Wenxuan Wang, and Michael R. Lyu. How well can llms echo us? evaluating ai chatbots’ role-play ability with echo, 2024. [find](https://scholar.google.com/scholar?q=Man+Tik+Ng%2C+Hui+Tung+Tse%2C+Jen+tse+Huang%2C+Jingjing+Li%2C+Wenxuan+Wang%2C+and+Michael+R%2E+Lyu%2E+How+well+can+llms+echo+us%3F+evaluating+ai+chatbots%E2%80%99+role%2Dplay+ability+with+echo%2C+2024%2E)
161. OpenAI. Chatgpt, 2022. URL [https://openai.com/blog/chatgpt](https://openai.com/blog/chatgpt). [↗](https://openai.com/blog/chatgpt)
162. OpenAI. GPT-4 technical report. ArXiv, abs/2303.08774, 2023. [find](https://scholar.google.com/scholar?q=OpenAI%2E+GPT%2D4+technical+report%2E+ArXiv%2C+abs%2F2303%2E08774%2C+2023%2E) [our card](https://md.research.elamur.ai/free/en/papers/openai-2023-gpt-4-technical-report/)
163. Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Gray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul Christiano, Jan Leike, and Ryan Lowe. Training l… [find](https://scholar.google.com/scholar?q=Long+Ouyang%2C+Jeffrey+Wu%2C+Xu+Jiang%2C+Diogo+Almeida%2C+Carroll+Wainwright%2C+Pamela+Mishkin%2C+Chong+Zhang%2C+Sandhini+Agarwal%2C+Katarina+Slama%2C+Alex+Gray%2C+John+Schulman%2C+Jacob+Hilton%2C+Fraser+Kelton%2C+Luke+Miller%2C) [our card](https://md.research.elamur.ai/free/en/papers/ouyang-2022-training-language-models-follow-instructions/)
164. Charles Packer, Vivian Fang, Shishir G Patil, Kevin Lin, Sarah Wooders, and Joseph E Gonzalez. Memgpt: Towards llms as operating systems. arXiv preprint arXiv:2310.08560, 2023. [find](https://scholar.google.com/scholar?q=Charles+Packer%2C+Vivian+Fang%2C+Shishir+G+Patil%2C+Kevin+Lin%2C+Sarah+Wooders%2C+and+Joseph+E+Gonzalez%2E+Memgpt%3A+Towards+llms+as+operating+systems%2E+arXiv+preprint+arXiv%3A2310%2E08560%2C+2023%2E)
165. Keyu Pan and Yawen Zeng. Do llms possess a personality? making the mbti test an amazing evaluation for large language models. arXiv preprint arXiv:2307.16180, 2023. [find](https://scholar.google.com/scholar?q=Keyu+Pan+and+Yawen+Zeng%2E+Do+llms+possess+a+personality%3F+making+the+mbti+test+an+amazing+evaluation+for+large+language+models%2E+arXiv+preprint+arXiv%3A2307%2E16180%2C+2023%2E)
166. Aaron Parisi, Yao Zhao, and Noah Fiedel. Talm: Tool augmented language models. arXiv preprint arXiv:2205.12255, 2022. [find](https://scholar.google.com/scholar?q=Aaron+Parisi%2C+Yao+Zhao%2C+and+Noah+Fiedel%2E+Talm%3A+Tool+augmented+language+models%2E+arXiv+preprint+arXiv%3A2205%2E12255%2C+2022%2E) [our card](https://md.research.elamur.ai/free/en/papers/parisi-2022-talm-tool-augmented-language-models/)
167. Joon Sung Park, Lindsay Popowski, Carrie Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein. Social simulacra: Creating populated prototypes for social computing systems. In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology, pp. 1–18, 2022. [find](https://scholar.google.com/scholar?q=Joon+Sung+Park%2C+Lindsay+Popowski%2C+Carrie+Cai%2C+Meredith+Ringel+Morris%2C+Percy+Liang%2C+and+Michael+S+Bernstein%2E+Social+simulacra%3A+Creating+populated+prototypes+for+social+computing+systems%2E+In+Proceedings)
168. Joon Sung Park, Joseph C. O’Brien, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, and Michael S. Bernstein. Generative agents: Interactive simulacra of human behavior. In In the 36th Annual ACM Symposium on User Interface Software and Technology (UIST ’23), UIST ’23, New York, NY, USA, 2023. As… [find](https://scholar.google.com/scholar?q=Joon+Sung+Park%2C+Joseph+C%2E+O%E2%80%99Brien%2C+Carrie+J%2E+Cai%2C+Meredith+Ringel+Morris%2C+Percy+Liang%2C+and+Michael+S%2E+Bernstein%2E+Generative+agents%3A+Interactive+simulacra+of+human+behavior%2E+In+In+the+36th+Annual+ACM+S)
169. Shishir G Patil, Tianjun Zhang, Xin Wang, and Joseph E Gonzalez. Gorilla: Large language model connected with massive apis. arXiv preprint arXiv:2305.15334, 2023. [find](https://scholar.google.com/scholar?q=Shishir+G+Patil%2C+Tianjun+Zhang%2C+Xin+Wang%2C+and+Joseph+E+Gonzalez%2E+Gorilla%3A+Large+language+model+connected+with+massive+apis%2E+arXiv+preprint+arXiv%3A2305%2E15334%2C+2023%2E) [our card](https://md.research.elamur.ai/free/en/papers/patil-2023-gorilla-large-language-model-connected/)
170. Martin Pawelczyk, Seth Neel, and Himabindu Lakkaraju. In-context unlearning: Language models as few shot unlearners. arXiv preprint arXiv:2310.07579, 2023. [find](https://scholar.google.com/scholar?q=Martin+Pawelczyk%2C+Seth+Neel%2C+and+Himabindu+Lakkaraju%2E+In%2Dcontext+unlearning%3A+Language+models+as+few+shot+unlearners%2E+arXiv+preprint+arXiv%3A2310%2E07579%2C+2023%2E)
171. Fábio Perez and Ian Ribeiro. Ignore previous prompt: Attack techniques for language models. In NeurIPS ML Safety Workshop, 2022. URL [https://openreview.net/forum?id=qiaRo_7Zmug](https://openreview.net/forum?id=qiaRo_7Zmug). [↗](https://openreview.net/forum?id=qiaRo_7Zmug) [our card](https://md.research.elamur.ai/free/en/papers/perez-2022-ignore-previous-prompt-attack-techniques/)
172. Maja Popović. chrf++: words helping character n-grams. In Proceedings of the second conference on machine translation, pp. 612–618, 2017. [find](https://scholar.google.com/scholar?q=Maja+Popovi%C4%87%2E+chrf%2B%2B%3A+words+helping+character+n%2Dgrams%2E+In+Proceedings+of+the+second+conference+on+machine+translation%2C+pp%2E+612%E2%80%93618%2C+2017%2E) [our card](https://md.research.elamur.ai/free/en/papers/popovic-2017-chrf-words-helping-character-n/)
173. Matt Post. A call for clarity in reporting bleu scores. arXiv preprint arXiv:1804.08771, 2018. [find](https://scholar.google.com/scholar?q=Matt+Post%2E+A+call+for+clarity+in+reporting+bleu+scores%2E+arXiv+preprint+arXiv%3A1804%2E08771%2C+2018%2E) [our card](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/)
174. David Premack and Guy Woodruff. Does the chimpanzee have a theory of mind? Behavioral and brain sciences, 1(4):515–526, 1978. [find](https://scholar.google.com/scholar?q=David+Premack+and+Guy+Woodruff%2E+Does+the+chimpanzee+have+a+theory+of+mind%3F+Behavioral+and+brain+sciences%2C+1%284%29%3A515%E2%80%93526%2C+1978%2E)
175. Chen Qian, Xin Cong, Wei Liu, Cheng Yang, Weize Chen, Yusheng Su, Yufan Dang, Jiahao Li, Juyuan Xu, Dahai Li, Zhiyuan Liu, and Maosong Sun. Communicative agents for software development, 2023. [find](https://scholar.google.com/scholar?q=Chen+Qian%2C+Xin+Cong%2C+Wei+Liu%2C+Cheng+Yang%2C+Weize+Chen%2C+Yusheng+Su%2C+Yufan+Dang%2C+Jiahao+Li%2C+Juyuan+Xu%2C+Dahai+Li%2C+Zhiyuan+Liu%2C+and+Maosong+Sun%2E+Communicative+agents+for+software+development%2C+2023%2E)
176. Ruiyang Qin, Jun Xia, Zhenge Jia, Meng Jiang, Ahmed Abbasi, Peipei Zhou, Jingtong Hu, and Yiyu Shi. Enabling on-device large language model personalization with self-supervised data selection and synthesis. arXiv preprint arXiv:2311.12275v3, 2024. — [arXiv:2311.12275](https://arxiv.org/abs/2311.12275) [find](https://scholar.google.com/scholar?q=Ruiyang+Qin%2C+Jun+Xia%2C+Zhenge+Jia%2C+Meng+Jiang%2C+Ahmed+Abbasi%2C+Peipei+Zhou%2C+Jingtong+Hu%2C+and+Yiyu+Shi%2E+Enabling+on%2Ddevice+large+language+model+personalization+with+self%2Dsupervised+data+selection+and+synt)
177. Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, et al. Toolllm: Facilitating large language models to master 16000+ real-world apis. arXiv preprint arXiv:2307.16789, 2023. [find](https://scholar.google.com/scholar?q=Yujia+Qin%2C+Shihao+Liang%2C+Yining+Ye%2C+Kunlun+Zhu%2C+Lan+Yan%2C+Yaxi+Lu%2C+Yankai+Lin%2C+Xin+Cong%2C+Xiangru+Tang%2C+Bill+Qian%2C+et+al%2E+Toolllm%3A+Facilitating+large+language+models+to+master+16000%2B+real%2Dworld+apis%2E+ar) [our card](https://md.research.elamur.ai/free/en/papers/qin-2023-toolllm-facilitating-large-language-models/)
178. Rafael Rafailov, Archit Sharma, Eric Mitchell, Stefano Ermon, Christopher D. Manning, and Chelsea Finn. Direct preference optimization: Your language model is secretly a reward model, 2024. URL https://arxiv.org/abs/2305.18290. [↗](https://arxiv.org/abs/2305.18290) [our card](https://md.research.elamur.ai/free/en/papers/rafailov-2023-direct-preference-optimization-language-model/)
179. Yiting Ran, Xintao Wang, Rui Xu, Xinfeng Yuan, Jiaqing Liang, Yanghua Xiao, and Deqing Yang. Capturing minds, not just words: Enhancing role-playing language models with personality-indicative data. In The Association for Computational Linguistics: EMNLP 2024, 2024. URL https://arxiv.org/abs/2406. 1… [↗](https://arxiv.org/abs/2406)
180. Krishan Rana, Jesse Haviland, Sourav Garg, Jad Abou-Chakra, Ian Reid, and Niko Suenderhauf. Sayplan: Grounding large language models using 3d scene graphs for scalable robot task planning. In 7th Annual Conference on Robot Learning, 2023. URL [https://openreview.net/forum?id=wMpOMO0Ss7a](https://openreview.net/forum?id=wMpOMO0Ss7a). [↗](https://openreview.net/forum?id=wMpOMO0Ss7a)
181. Haocong Rao, Cyril Leung, and Chunyan Miao. Can chatgpt assess human personalities? a general evaluation framework. arXiv preprint arXiv:2303.01248, 2023. [find](https://scholar.google.com/scholar?q=Haocong+Rao%2C+Cyril+Leung%2C+and+Chunyan+Miao%2E+Can+chatgpt+assess+human+personalities%3F+a+general+evaluation+framework%2E+arXiv+preprint+arXiv%3A2303%2E01248%2C+2023%2E)
182. Paula Rescala, Manoel Horta Ribeiro, Tiancheng Hu, and Robert West. Can language models recognize convincing arguments?, 2024. [find](https://scholar.google.com/scholar?q=Paula+Rescala%2C+Manoel+Horta+Ribeiro%2C+Tiancheng+Hu%2C+and+Robert+West%2E+Can+language+models+recognize+convincing+arguments%3F%2C+2024%2E)
183. Jingqing Ruan, Yihong Chen, Bin Zhang, Zhiwei Xu, Tianpeng Bao, Guoqing Du, Shiwei Shi, Hangyu Mao, Xingyu Zeng, and Rui Zhao. Tptu: Task planning and tool usage of large language model-based ai agents. arXiv preprint arXiv:2308.03427, 2023. — [arXiv:2308.03427](https://arxiv.org/abs/2308.03427) [find](https://scholar.google.com/scholar?q=Jingqing+Ruan%2C+Yihong+Chen%2C+Bin+Zhang%2C+Zhiwei+Xu%2C+Tianpeng+Bao%2C+Guoqing+Du%2C+Shiwei+Shi%2C+Hangyu+Mao%2C+Xingyu+Zeng%2C+and+Rui+Zhao%2E+Tptu%3A+Task+planning+and+tool+usage+of+large+language+model%2Dbased+ai+agent)
184. Jérôme Rutinowski, Sven Franke, Jan Endendyk, Ina Dormuth, and Markus Pauly. The self-perception and political biases of chatgpt. arXiv preprint arXiv:2304.07333, 2023. — [arXiv:2304.07333](https://arxiv.org/abs/2304.07333) [find](https://scholar.google.com/scholar?q=J%C3%A9r%C3%B4me+Rutinowski%2C+Sven+Franke%2C+Jan+Endendyk%2C+Ina+Dormuth%2C+and+Markus+Pauly%2E+The+self%2Dperception+and+political+biases+of+chatgpt%2E+arXiv+preprint+arXiv%3A2304%2E07333%2C+2023%2E+%E2%80%94+%5BarXiv%3A2304%2E07333%5D%28https%3A%2F%2Far)
185. Mustafa Safdari, Greg Serapio-García, Clément Crepy, Stephen Fitz, Peter Romero, Luning Sun, Marwa Abdulhai, Aleksandra Faust, and Maja Matarić. Personality traits in large language models. arXiv preprint arXiv:2307.00184, 2023. [find](https://scholar.google.com/scholar?q=Mustafa+Safdari%2C+Greg+Serapio%2DGarc%C3%ADa%2C+Cl%C3%A9ment+Crepy%2C+Stephen+Fitz%2C+Peter+Romero%2C+Luning+Sun%2C+Marwa+Abdulhai%2C+Aleksandra+Faust%2C+and+Maja+Matari%C4%87%2E+Personality+traits+in+large+language+models%2E+arXiv+prep) [our card](https://md.research.elamur.ai/free/en/papers/serapio-garcia-2023-personality-traits-large-language-models/)
186. Alireza Salemi, Sheshera Mysore, Michael Bendersky, and Hamed Zamani. Lamp: When large language models meet personalization, 2024. [find](https://scholar.google.com/scholar?q=Alireza+Salemi%2C+Sheshera+Mysore%2C+Michael+Bendersky%2C+and+Hamed+Zamani%2E+Lamp%3A+When+large+language+models+meet+personalization%2C+2024%2E) [our card](https://md.research.elamur.ai/free/en/papers/salemi-2024-lamp-when-large-language-models/)
187. Malik Sallam. Chatgpt utility in health care education, research, and practice: Systematic review on the promising perspectives and valid concerns. Healthcare, 11:887, 03 2023. doi: 10.3390/healthcare11060887. — [doi:10.3390/healthcare11060887](https://doi.org/10.3390/healthcare11060887) [find](https://scholar.google.com/scholar?q=Malik+Sallam%2E+Chatgpt+utility+in+health+care+education%2C+research%2C+and+practice%3A+Systematic+review+on+the+promising+perspectives+and+valid+concerns%2E+Healthcare%2C+11%3A887%2C+03+2023%2E+doi%3A+10%2E3390%2Fhealthcare)
188. Vinay Samuel, Henry Peng Zou, Yue Zhou, Shreyas Chaudhari, Ashwin Kalyan, Tanmay Rajpurohit, Ameet Deshpande, Karthik Narasimhan, and Vishvak Murahari. Personagym: Evaluating persona agents and llms. arXiv preprint arXiv:2407.18416, 2024. [find](https://scholar.google.com/scholar?q=Vinay+Samuel%2C+Henry+Peng+Zou%2C+Yue+Zhou%2C+Shreyas+Chaudhari%2C+Ashwin+Kalyan%2C+Tanmay+Rajpurohit%2C+Ameet+Deshpande%2C+Karthik+Narasimhan%2C+and+Vishvak+Murahari%2E+Personagym%3A+Evaluating+persona+agents+and+llms%2E+)
189. Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, and Tatsunori Hashimoto. Whose opinions do language models reflect? arXiv preprint arXiv:2303.17548, 2023. [find](https://scholar.google.com/scholar?q=Shibani+Santurkar%2C+Esin+Durmus%2C+Faisal+Ladhak%2C+Cinoo+Lee%2C+Percy+Liang%2C+and+Tatsunori+Hashimoto%2E+Whose+opinions+do+language+models+reflect%3F+arXiv+preprint+arXiv%3A2303%2E17548%2C+2023%2E) [our card](https://md.research.elamur.ai/free/en/papers/santurkar-2023-whose-opinions-language-models-reflect/)
190. Maarten Sap, Ronan LeBras, Daniel Fried, and Yejin Choi. Neural theory-of-mind? on the limits of social intelligence in large lms, 2023. [find](https://scholar.google.com/scholar?q=Maarten+Sap%2C+Ronan+LeBras%2C+Daniel+Fried%2C+and+Yejin+Choi%2E+Neural+theory%2Dof%2Dmind%3F+on+the+limits+of+social+intelligence+in+large+lms%2C+2023%2E)
191. Nino Scherrer, Claudia Shi, Amir Feder, and David Blei. Evaluating the moral beliefs encoded in llms. In A. Oh, T. Neumann, A. Globerson, K. Saenko, M. Hardt, and S. Levine (eds.), Advances in Neural Information Processing Systems, volume 36, pp. 51778–51809. Curran Associates, Inc., 2023. URL https… [find](https://scholar.google.com/scholar?q=Nino+Scherrer%2C+Claudia+Shi%2C+Amir+Feder%2C+and+David+Blei%2E+Evaluating+the+moral+beliefs+encoded+in+llms%2E+In+A%2E+Oh%2C+T%2E+Neumann%2C+A%2E+Globerson%2C+K%2E+Saenko%2C+M%2E+Hardt%2C+and+S%2E+Levine+%28eds%2E%29%2C+Advances+in+Neural+)
192. Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom. Toolformer: Language models can teach themselves to use tools. arXiv preprint arXiv:2302.04761, 2023. [find](https://scholar.google.com/scholar?q=Timo+Schick%2C+Jane+Dwivedi%2DYu%2C+Roberto+Dess%C3%AC%2C+Roberta+Raileanu%2C+Maria+Lomeli%2C+Luke+Zettlemoyer%2C+Nicola+Cancedda%2C+and+Thomas+Scialom%2E+Toolformer%3A+Language+models+can+teach+themselves+to+use+tools%2E+arXiv) [our card](https://md.research.elamur.ai/free/en/papers/schick-2023-toolformer-language-models-can-teach/)
193. John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov. Proximal policy optimization algorithms. arXiv preprint arXiv:1707.06347, 2017. [find](https://scholar.google.com/scholar?q=John+Schulman%2C+Filip+Wolski%2C+Prafulla+Dhariwal%2C+Alec+Radford%2C+and+Oleg+Klimov%2E+Proximal+policy+optimization+algorithms%2E+arXiv+preprint+arXiv%3A1707%2E06347%2C+2017%2E)
194. Melanie Sclar, Sachin Kumar, Peter West, Alane Suhr, Yejin Choi, and Yulia Tsvetkov. Minding language models’ (lack of) theory of mind: A plug-and-play multi-character belief tracker. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers),… [find](https://scholar.google.com/scholar?q=Melanie+Sclar%2C+Sachin+Kumar%2C+Peter+West%2C+Alane+Suhr%2C+Yejin+Choi%2C+and+Yulia+Tsvetkov%2E+Minding+language+models%E2%80%99+%28lack+of%29+theory+of+mind%3A+A+plug%2Dand%2Dplay+multi%2Dcharacter+belief+tracker%2E+In+Proceedings+o)
195. Greg Serapio-García, Mustafa Safdari, Clément Crepy, Luning Sun, Stephen Fitz, Peter Romero, Marwa Abdulhai, Aleksandra Faust, and Maja Matarić. Personality traits in large language models, 2023. [find](https://scholar.google.com/scholar?q=Greg+Serapio%2DGarc%C3%ADa%2C+Mustafa+Safdari%2C+Cl%C3%A9ment+Crepy%2C+Luning+Sun%2C+Stephen+Fitz%2C+Peter+Romero%2C+Marwa+Abdulhai%2C+Aleksandra+Faust%2C+and+Maja+Matari%C4%87%2E+Personality+traits+in+large+language+models%2C+2023%2E) [our card](https://md.research.elamur.ai/free/en/papers/serapio-garcia-2023-personality-traits-large-language-models/)
196. Omar Shaikh, Michelle Lam, Joey Hejna, Yijia Shao, Michael Bernstein, and Diyi Yang. Show, don’t tell: Aligning language models with demonstrated feedback. arXiv preprint arXiv:2406.00888, 2024a. — [arXiv:2406.00888](https://arxiv.org/abs/2406.00888) [find](https://scholar.google.com/scholar?q=Omar+Shaikh%2C+Michelle+Lam%2C+Joey+Hejna%2C+Yijia+Shao%2C+Michael+Bernstein%2C+and+Diyi+Yang%2E+Show%2C+don%E2%80%99t+tell%3A+Aligning+language+models+with+demonstrated+feedback%2E+arXiv+preprint+arXiv%3A2406%2E00888%2C+2024a%2E+%E2%80%94+%5Ba)
197. Omar Shaikh, Michelle Lam, Joey Hejna, Yijia Shao, Michael Bernstein, and Diyi Yang. Show, don’t tell: Aligning language models with demonstrated feedback, 2024b. URL https://arxiv.org/abs/2406.00888. — [arXiv:2406.00888](https://arxiv.org/abs/2406.00888) [↗](https://arxiv.org/abs/2406.00888)
198. Murray Shanahan, Kyle McDonell, and Laria Reynolds. Role play with large language models. Nature, 623 (7987):493–498, 2023. [find](https://scholar.google.com/scholar?q=Murray+Shanahan%2C+Kyle+McDonell%2C+and+Laria+Reynolds%2E+Role+play+with+large+language+models%2E+Nature%2C+623+%287987%29%3A493%E2%80%93498%2C+2023%2E) [our card](https://md.research.elamur.ai/free/en/papers/shanahan-2023-role-play-large-language-models/)
199. Yunfan Shao, Linyang Li, Junqi Dai, and Xipeng Qiu. Character-llm: A trainable agent for role-playing. arXiv preprint arXiv:2310.10158, 2023. [find](https://scholar.google.com/scholar?q=Yunfan+Shao%2C+Linyang+Li%2C+Junqi+Dai%2C+and+Xipeng+Qiu%2E+Character%2Dllm%3A+A+trainable+agent+for+role%2Dplaying%2E+arXiv+preprint+arXiv%3A2310%2E10158%2C+2023%2E) [our card](https://md.research.elamur.ai/free/en/papers/shao-2023-character-llm-trainable-agent-role/)
200. Natalie Shapira, Mosh Levy, Seyed Hossein Alavi, Xuhui Zhou, Yejin Choi, Yoav Goldberg, Maarten Sap, and Vered Shwartz. Clever hans or neural theory of mind? stress testing social reasoning in large language models. arXiv preprint arXiv:2305.14763, 2023. [find](https://scholar.google.com/scholar?q=Natalie+Shapira%2C+Mosh+Levy%2C+Seyed+Hossein+Alavi%2C+Xuhui+Zhou%2C+Yejin+Choi%2C+Yoav+Goldberg%2C+Maarten+Sap%2C+and+Vered+Shwartz%2E+Clever+hans+or+neural+theory+of+mind%3F+stress+testing+social+reasoning+in+large+l)
201. Ryan Shea and Zhou Yu. Building persona consistent dialogue agents with offline reinforcement learning. arXiv preprint arXiv:2310.10735, 2023. [find](https://scholar.google.com/scholar?q=Ryan+Shea+and+Zhou+Yu%2E+Building+persona+consistent+dialogue+agents+with+offline+reinforcement+learning%2E+arXiv+preprint+arXiv%3A2310%2E10735%2C+2023%2E)
202. Tianhao Shen, Sun Li, and Deyi Xiong. Roleeval: A bilingual role evaluation benchmark for large language models. arXiv preprint arXiv:2312.16132, 2023a. — [arXiv:2312.16132](https://arxiv.org/abs/2312.16132) [find](https://scholar.google.com/scholar?q=Tianhao+Shen%2C+Sun+Li%2C+and+Deyi+Xiong%2E+Roleeval%3A+A+bilingual+role+evaluation+benchmark+for+large+language+models%2E+arXiv+preprint+arXiv%3A2312%2E16132%2C+2023a%2E+%E2%80%94+%5BarXiv%3A2312%2E16132%5D%28https%3A%2F%2Farxiv%2Eorg%2Fabs%2F2312)
203. Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, and Yueting Zhuang. HuggingGPT: Solving AI tasks with chatGPT and its friends in hugging face. In Thirty-seventh Conference on Neural Information Processing Systems, 2023b. URL [https://openreview.net/forum?id=yHdTscY6Ci](https://openreview.net/forum?id=yHdTscY6Ci). [↗](https://openreview.net/forum?id=yHdTscY6Ci) [our card](https://md.research.elamur.ai/free/en/papers/shen-2023-hugginggpt-solving-ai-tasks-chatgpt/)
204. Yongliang Shen, Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, and Yueting Zhuang. Taskbench: Benchmarking large language models for task automation. arXiv preprint arXiv:2311.18760, 2023c. — [arXiv:2311.18760](https://arxiv.org/abs/2311.18760) [find](https://scholar.google.com/scholar?q=Yongliang+Shen%2C+Kaitao+Song%2C+Xu+Tan%2C+Wenqi+Zhang%2C+Kan+Ren%2C+Siyu+Yuan%2C+Weiming+Lu%2C+Dongsheng+Li%2C+and+Yueting+Zhuang%2E+Taskbench%3A+Benchmarking+large+language+models+for+task+automation%2E+arXiv+preprint+ar)
205. Noah Shinn, Federico Cassano, Beck Labash, Ashwin Gopinath, Karthik Narasimhan, and Shunyu Yao. Reflexion: Language agents with verbal reinforcement learning. arXiv preprint arXiv:2303.11366, 2023. [find](https://scholar.google.com/scholar?q=Noah+Shinn%2C+Federico+Cassano%2C+Beck+Labash%2C+Ashwin+Gopinath%2C+Karthik+Narasimhan%2C+and+Shunyu+Yao%2E+Reflexion%3A+Language+agents+with+verbal+reinforcement+learning%2E+arXiv+preprint+arXiv%3A2303%2E11366%2C+2023%2E) [our card](https://md.research.elamur.ai/free/en/papers/shinn-2023-reflexion-language-agents-verbal-reinforcement/)
206. Significant-Gravitas. Autogpt. [https://github.com/Significant-Gravitas/Auto-GPT](https://github.com/Significant-Gravitas/Auto-GPT), 2023. [↗](https://github.com/Significant-Gravitas/Auto-GPT)
207. Chan Hee Song, Jiaman Wu, Clayton Washington, Brian M Sadler, Wei-Lun Chao, and Yu Su. Llm-planner: Few-shot grounded planning for embodied agents with large language models. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 2998–3009, 2023. [find](https://scholar.google.com/scholar?q=Chan+Hee+Song%2C+Jiaman+Wu%2C+Clayton+Washington%2C+Brian+M+Sadler%2C+Wei%2DLun+Chao%2C+and+Yu+Su%2E+Llm%2Dplanner%3A+Few%2Dshot+grounded+planning+for+embodied+agents+with+large+language+models%2E+In+Proceedings+of+the+IEE) [our card](https://md.research.elamur.ai/free/en/papers/song-2022-llm-planner-few-shot-grounded/)
208. Vera Sorin, Danna Brin, Yiftach Barash, Eli Konen, Alexander Charney, Girish Nadkarni, and Eyal Klang. Large language models (llms) and empathy-a systematic review. medRxiv, pp. 2023–08, 2023. [find](https://scholar.google.com/scholar?q=Vera+Sorin%2C+Danna+Brin%2C+Yiftach+Barash%2C+Eli+Konen%2C+Alexander+Charney%2C+Girish+Nadkarni%2C+and+Eyal+Klang%2E+Large+language+models+%28llms%29+and+empathy%2Da+systematic+review%2E+medRxiv%2C+pp%2E+2023%E2%80%9308%2C+2023%2E)
209. Robin Staab, Mark Vero, Mislav Balunović, and Martin Vechev. Beyond memorization: Violating privacy via inference with large language models. arXiv preprint arXiv:2310.07298, 2023. — [arXiv:2310.07298](https://arxiv.org/abs/2310.07298) [find](https://scholar.google.com/scholar?q=Robin+Staab%2C+Mark+Vero%2C+Mislav+Balunovi%C4%87%2C+and+Martin+Vechev%2E+Beyond+memorization%3A+Violating+privacy+via+inference+with+large+language+models%2E+arXiv+preprint+arXiv%3A2310%2E07298%2C+2023%2E+%E2%80%94+%5BarXiv%3A2310%2E07298)
210. Jianlin Su, Murtadha Ahmed, Yu Lu, Shengfeng Pan, Wen Bo, and Yunfeng Liu. Roformer: Enhanced transformer with rotary position embedding. Neurocomputing, 568:127063, 2024. ISSN 0925-2312. doi: https://doi.org/10.1016/j.neucom.2023.127063. URL https://www.sciencedirect.com/science/ article/pii/S09252… [↗](https://doi.org/10.1016/j.neucom.2023.127063) [our card](https://md.research.elamur.ai/free/en/papers/su-2021-roformer-enhanced-transformer-rotary-position/)
211. Megan Su and Yuwei Bao. User modeling challenges in interactive ai assistant systems, 2024. [find](https://scholar.google.com/scholar?q=Megan+Su+and+Yuwei+Bao%2E+User+modeling+challenges+in+interactive+ai+assistant+systems%2C+2024%2E)
212. Chenkai Sun, Ke Yang, Revanth Gangi Reddy, Yi R. Fung, Hou Pong Chan, ChengXiang Zhai, and Heng Ji. Persona-db: Efficient large language model personalization for response prediction with collaborative data refinement, 2024. [find](https://scholar.google.com/scholar?q=Chenkai+Sun%2C+Ke+Yang%2C+Revanth+Gangi+Reddy%2C+Yi+R%2E+Fung%2C+Hou+Pong+Chan%2C+ChengXiang+Zhai%2C+and+Heng+Ji%2E+Persona%2Ddb%3A+Efficient+large+language+model+personalization+for+response+prediction+with+collaborativ)
213. Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang, and William Yang Wang. Mitigating gender bias in natural language processing: Literature review. In Proceedings of the 57th Annual Meeting of the Association for Computational L… [find](https://scholar.google.com/scholar?q=Tony+Sun%2C+Andrew+Gaut%2C+Shirlyn+Tang%2C+Yuxin+Huang%2C+Mai+ElSherief%2C+Jieyu+Zhao%2C+Diba+Mirza%2C+Elizabeth+Belding%2C+Kai%2DWei+Chang%2C+and+William+Yang+Wang%2E+Mitigating+gender+bias+in+natural+language+processing%3A) [our card](https://md.research.elamur.ai/free/en/papers/sun-2019-mitigating-gender-bias-natural-language/)
214. Latanya Sweeney. k-anonymity: A model for protecting privacy. International journal of uncertainty, fuzziness and knowledge-based systems, 10(05):557–570, 2002. [find](https://scholar.google.com/scholar?q=Latanya+Sweeney%2E+k%2Danonymity%3A+A+model+for+protecting+privacy%2E+International+journal+of+uncertainty%2C+fuzziness+and+knowledge%2Dbased+systems%2C+10%2805%29%3A557%E2%80%93570%2C+2002%2E)
215. Fiona Anting Tan, Gerard Christopher Yeo, Fanyou Wu, Weijie Xu, Vinija Jain, Aman Chadha, Kokil Jaidka, Yang Liu, and See-Kiong Ng. Phantom: Personality has an effect on theory-of-mind reasoning in large language models, 2024. [find](https://scholar.google.com/scholar?q=Fiona+Anting+Tan%2C+Gerard+Christopher+Yeo%2C+Fanyou+Wu%2C+Weijie+Xu%2C+Vinija+Jain%2C+Aman+Chadha%2C+Kokil+Jaidka%2C+Yang+Liu%2C+and+See%2DKiong+Ng%2E+Phantom%3A+Personality+has+an+effect+on+theory%2Dof%2Dmind+reasoning+in+la)
216. Yihong Tang, Jiao Ou, Che Liu, Fuzheng Zhang, Di Zhang, and Kun Gai. Enhancing role-playing systems through aggressive queries: Evaluation and improvement. arXiv preprint arXiv:2402.10618, 2024. — [arXiv:2402.10618](https://arxiv.org/abs/2402.10618) [find](https://scholar.google.com/scholar?q=Yihong+Tang%2C+Jiao+Ou%2C+Che+Liu%2C+Fuzheng+Zhang%2C+Di+Zhang%2C+and+Kun+Gai%2E+Enhancing+role%2Dplaying+systems+through+aggressive+queries%3A+Evaluation+and+improvement%2E+arXiv+preprint+arXiv%3A2402%2E10618%2C+2024%2E+%E2%80%94+%5Bar)
217. Quan Tu, Shilong Fan, Zihang Tian, and Rui Yan. Charactereval: A chinese benchmark for role-playing conversational agent evaluation. arXiv preprint arXiv:2401.01275, 2024. [find](https://scholar.google.com/scholar?q=Quan+Tu%2C+Shilong+Fan%2C+Zihang+Tian%2C+and+Rui+Yan%2E+Charactereval%3A+A+chinese+benchmark+for+role%2Dplaying+conversational+agent+evaluation%2E+arXiv+preprint+arXiv%3A2401%2E01275%2C+2024%2E)
218. Karthik Valmeekam, Matthew Marquez, Alberto Olmo, Sarath Sreedharan, and Subbarao Kambhampati. Planbench: An extensible benchmark for evaluating large language models on planning and reasoning about change. Advances in Neural Information Processing Systems, 36, 2024. [find](https://scholar.google.com/scholar?q=Karthik+Valmeekam%2C+Matthew+Marquez%2C+Alberto+Olmo%2C+Sarath+Sreedharan%2C+and+Subbarao+Kambhampati%2E+Planbench%3A+An+extensible+benchmark+for+evaluating+large+language+models+on+planning+and+reasoning+about+c) [our card](https://md.research.elamur.ai/free/en/papers/valmeekam-2022-planbench-extensible-benchmark-evaluating-large/)
219. Guanzhi Wang, Yuqi Xie, Yunfan Jiang, Ajay Mandlekar, Chaowei Xiao, Yuke Zhu, Linxi Fan, and Anima Anandkumar. Voyager: An open-ended embodied agent with large language models. arXiv preprint arXiv: Arxiv-2305.16291, 2023a. [find](https://scholar.google.com/scholar?q=Guanzhi+Wang%2C+Yuqi+Xie%2C+Yunfan+Jiang%2C+Ajay+Mandlekar%2C+Chaowei+Xiao%2C+Yuke+Zhu%2C+Linxi+Fan%2C+and+Anima+Anandkumar%2E+Voyager%3A+An+open%2Dended+embodied+agent+with+large+language+models%2E+arXiv+preprint+arXiv%3A+A)
220. Hong Wang, Weizhi Wang, Rajan Saini, Marina Zhukova, and Xifeng Yan. Gauchochat: Towards proactive, controllable, and personalized social conversation. Alexa Prize SocialBot Grand Challenge, 5. Hongru Wang, Minda Hu, Yang Deng, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Wai-Chung Kwan, Irwin King… [find](https://scholar.google.com/scholar?q=Hong+Wang%2C+Weizhi+Wang%2C+Rajan+Saini%2C+Marina+Zhukova%2C+and+Xifeng+Yan%2E+Gauchochat%3A+Towards+proactive%2C+controllable%2C+and+personalized+social+conversation%2E+Alexa+Prize+SocialBot+Grand+Challenge%2C+5%2E+Hongru)
221. Lei Wang and Ee-Peng Lim. Zero-shot next-item recommendation using large pretrained language models, 2023. [find](https://scholar.google.com/scholar?q=Lei+Wang+and+Ee%2DPeng+Lim%2E+Zero%2Dshot+next%2Ditem+recommendation+using+large+pretrained+language+models%2C+2023%2E)
222. Lei Wang, Jingsen Zhang, Hao Yang, Zhiyuan Chen, Jiakai Tang, Zeyu Zhang, Xu Chen, Yankai Lin, Ruihua Song, Wayne Xin Zhao, Jun Xu, Zhicheng Dou, Jun Wang, and Ji-Rong Wen. When large language model based agent meets user behavior analysis: A novel user simulation paradigm, 2023c. [find](https://scholar.google.com/scholar?q=Lei+Wang%2C+Jingsen+Zhang%2C+Hao+Yang%2C+Zhiyuan+Chen%2C+Jiakai+Tang%2C+Zeyu+Zhang%2C+Xu+Chen%2C+Yankai+Lin%2C+Ruihua+Song%2C+Wayne+Xin+Zhao%2C+Jun+Xu%2C+Zhicheng+Dou%2C+Jun+Wang%2C+and+Ji%2DRong+Wen%2E+When+large+language+model+b)
223. Noah Wang, Z.y. Peng, Haoran Que, Jiaheng Liu, Wangchunshu Zhou, Yuhan Wu, Hongcheng Guo, Ruitong Gan, Zehao Ni, Jian Yang, Man Zhang, Zhaoxiang Zhang, Wanli Ouyang, Ke Xu, Wenhao Huang, Jie Fu, and Junran Peng. RoleLLM: Benchmarking, eliciting, and enhancing role-playing abilities of large language… [find](https://scholar.google.com/scholar?q=Noah+Wang%2C+Z%2Ey%2E+Peng%2C+Haoran+Que%2C+Jiaheng+Liu%2C+Wangchunshu+Zhou%2C+Yuhan+Wu%2C+Hongcheng+Guo%2C+Ruitong+Gan%2C+Zehao+Ni%2C+Jian+Yang%2C+Man+Zhang%2C+Zhaoxiang+Zhang%2C+Wanli+Ouyang%2C+Ke+Xu%2C+Wenhao+Huang%2C+Jie+Fu%2C+and+J)
224. Ruiyi Wang, Haofei Yu, Wenxin Zhang, Zhengyang Qi, Maarten Sap, Graham Neubig, Yonatan Bisk, and Hao Zhu. Sotopia-π: Interactive learning of socially intelligent language agents, 2024b. [find](https://scholar.google.com/scholar?q=Ruiyi+Wang%2C+Haofei+Yu%2C+Wenxin+Zhang%2C+Zhengyang+Qi%2C+Maarten+Sap%2C+Graham+Neubig%2C+Yonatan+Bisk%2C+and+Hao+Zhu%2E+Sotopia%2D%CF%80%3A+Interactive+learning+of+socially+intelligent+language+agents%2C+2024b%2E)
225. Shenzhi Wang, Chang Liu, Zilong Zheng, Siyuan Qi, Shuo Chen, Qisen Yang, Andrew Zhao, Chaofei Wang, Shiji Song, and Gao Huang. Avalon’s game of thoughts: Battle against deception through recursive contemplation. arXiv preprint arXiv:2310.01320, 2023d. — [arXiv:2310.01320](https://arxiv.org/abs/2310.01320) [find](https://scholar.google.com/scholar?q=Shenzhi+Wang%2C+Chang+Liu%2C+Zilong+Zheng%2C+Siyuan+Qi%2C+Shuo+Chen%2C+Qisen+Yang%2C+Andrew+Zhao%2C+Chaofei+Wang%2C+Shiji+Song%2C+and+Gao+Huang%2E+Avalon%E2%80%99s+game+of+thoughts%3A+Battle+against+deception+through+recursive+con)
226. Sinong Wang, Belinda Z Li, Madian Khabsa, Han Fang, and Hao Ma. Linformer: Self-attention with linear complexity. arXiv preprint arXiv:2006.04768, 2020. [find](https://scholar.google.com/scholar?q=Sinong+Wang%2C+Belinda+Z+Li%2C+Madian+Khabsa%2C+Han+Fang%2C+and+Hao+Ma%2E+Linformer%3A+Self%2Dattention+with+linear+complexity%2E+arXiv+preprint+arXiv%3A2006%2E04768%2C+2020%2E)
227. Wenxuan Wang, Wenxiang Jiao, Jingyuan Huang, Ruyi Dai, Jen-tse Huang, Zhaopeng Tu, and Michael R Lyu. Not all countries celebrate thanksgiving: On the cultural dominance in large language models. arXiv preprint arXiv:2310.12481, 2023e. [find](https://scholar.google.com/scholar?q=Wenxuan+Wang%2C+Wenxiang+Jiao%2C+Jingyuan+Huang%2C+Ruyi+Dai%2C+Jen%2Dtse+Huang%2C+Zhaopeng+Tu%2C+and+Michael+R+Lyu%2E+Not+all+countries+celebrate+thanksgiving%3A+On+the+cultural+dominance+in+large+language+models%2E+arXi)
228. Xingyao Wang, Zihan Wang, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng, and Heng Ji. Mint: Evaluating llms in multi-turn interaction with tools and language feedback. arXiv preprint arXiv:2309.10691, 2023f. [find](https://scholar.google.com/scholar?q=Xingyao+Wang%2C+Zihan+Wang%2C+Jiateng+Liu%2C+Yangyi+Chen%2C+Lifan+Yuan%2C+Hao+Peng%2C+and+Heng+Ji%2E+Mint%3A+Evaluating+llms+in+multi%2Dturn+interaction+with+tools+and+language+feedback%2E+arXiv+preprint+arXiv%3A2309%2E10691) [our card](https://md.research.elamur.ai/free/en/papers/wang-2023-mint-evaluating-llms-multi-turn/)
229. Xintao Wang, Jiangjie Chen, Nianqi Li, Lida Chen, Xinfeng Yuan, Wei Shi, Xuyang Ge, Rui Xu, and Yanghua Xiao. Surveyagent: A conversational system for personalized and efficient research survey, 2024c. [find](https://scholar.google.com/scholar?q=Xintao+Wang%2C+Jiangjie+Chen%2C+Nianqi+Li%2C+Lida+Chen%2C+Xinfeng+Yuan%2C+Wei+Shi%2C+Xuyang+Ge%2C+Rui+Xu%2C+and+Yanghua+Xiao%2E+Surveyagent%3A+A+conversational+system+for+personalized+and+efficient+research+survey%2C+2024c)
230. Xintao Wang, Yunze Xiao, Jen-tse Huang, Siyu Yuan, Rui Xu, Haoran Guo, Quan Tu, Yaying Fei, Ziang Leng, Wei Wang, Jiangjie Chen, Cheng Li, and Yanghua Xiao. InCharacter: Evaluating personality fidelity in role-playing agents through psychological interviews. In Lun-Wei Ku, Andre Martins, and Vivek S… [find](https://scholar.google.com/scholar?q=Xintao+Wang%2C+Yunze+Xiao%2C+Jen%2Dtse+Huang%2C+Siyu+Yuan%2C+Rui+Xu%2C+Haoran+Guo%2C+Quan+Tu%2C+Yaying+Fei%2C+Ziang+Leng%2C+Wei+Wang%2C+Jiangjie+Chen%2C+Cheng+Li%2C+and+Yanghua+Xiao%2E+InCharacter%3A+Evaluating+personality+fidelit)
231. Zhenhailong Wang, Shaoguang Mao, Wenshan Wu, Tao Ge, Furu Wei, and Heng Ji. Unleashing the emergent cognitive synergy in large language models: A task-solving agent through multi-persona self-collaboration. arXiv preprint arXiv:2307.05300, 2023g. [find](https://scholar.google.com/scholar?q=Zhenhailong+Wang%2C+Shaoguang+Mao%2C+Wenshan+Wu%2C+Tao+Ge%2C+Furu+Wei%2C+and+Heng+Ji%2E+Unleashing+the+emergent+cognitive+synergy+in+large+language+models%3A+A+task%2Dsolving+agent+through+multi%2Dpersona+self%2Dcollabor) [our card](https://md.research.elamur.ai/free/en/papers/wang-2023-unleashing-emergent-cognitive-synergy-large/)
232. Zhilin Wang, Yu Ying Chiu, and Yu Cheung Chiu. Humanoid agents: Platform for simulating human-like generative agents. arXiv preprint arXiv:2310.05418, 2023h. [find](https://scholar.google.com/scholar?q=Zhilin+Wang%2C+Yu+Ying+Chiu%2C+and+Yu+Cheung+Chiu%2E+Humanoid+agents%3A+Platform+for+simulating+human%2Dlike+generative+agents%2E+arXiv+preprint+arXiv%3A2310%2E05418%2C+2023h%2E)
233. Zihao Wang, Shaofei Cai, Anji Liu, Xiaojian Ma, and Yitao Liang. Describe, explain, plan and select: Interactive planning with large language models enables open-world multi-task agents. arXiv preprint arXiv:2302.01560, 2023i. [find](https://scholar.google.com/scholar?q=Zihao+Wang%2C+Shaofei+Cai%2C+Anji+Liu%2C+Xiaojian+Ma%2C+and+Yitao+Liang%2E+Describe%2C+explain%2C+plan+and+select%3A+Interactive+planning+with+large+language+models+enables+open%2Dworld+multi%2Dtask+agents%2E+arXiv+preprin) [our card](https://md.research.elamur.ai/free/en/papers/wang-2023-describe-explain-plan-select-interactive/)
234. Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, Ed H. Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus. Emergent abilities of large language models. Transactions on Machine… [find](https://scholar.google.com/scholar?q=Jason+Wei%2C+Yi+Tay%2C+Rishi+Bommasani%2C+Colin+Raffel%2C+Barret+Zoph%2C+Sebastian+Borgeaud%2C+Dani+Yogatama%2C+Maarten+Bosma%2C+Denny+Zhou%2C+Donald+Metzler%2C+Ed+H%2E+Chi%2C+Tatsunori+Hashimoto%2C+Oriol+Vinyals%2C+Percy+Liang%2C) [our card](https://md.research.elamur.ai/free/en/papers/wei-2022-emergent-abilities-large-language-models/)
235. Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, brian ichter, Fei Xia, Ed H. Chi, Quoc V Le, and Denny Zhou. Chain of thought prompting elicits reasoning in large language models. In Alice H. Oh, Alekh Agarwal, Danielle Belgrave, and Kyunghyun Cho (eds.), Advances in Neural Information Proce… [find](https://scholar.google.com/scholar?q=Jason+Wei%2C+Xuezhi+Wang%2C+Dale+Schuurmans%2C+Maarten+Bosma%2C+brian+ichter%2C+Fei+Xia%2C+Ed+H%2E+Chi%2C+Quoc+V+Le%2C+and+Denny+Zhou%2E+Chain+of+thought+prompting+elicits+reasoning+in+large+language+models%2E+In+Alice+H%2E+) [our card](https://md.research.elamur.ai/free/en/papers/wei-2022-chain-thought-prompting-elicits-reasoning/)
236. Hao Wen, Yuanchun Li, Guohong Liu, Shanhui Zhao, Tao Yu, Toby Jia-Jun Li, Shiqi Jiang, Yunhao Liu, Yaqin Zhang, and Yunxin Liu. Empowering llm to use smartphone for intelligent task automation. arXiv preprint arXiv:2308.15272, 2023a. — [arXiv:2308.15272](https://arxiv.org/abs/2308.15272) [find](https://scholar.google.com/scholar?q=Hao+Wen%2C+Yuanchun+Li%2C+Guohong+Liu%2C+Shanhui+Zhao%2C+Tao+Yu%2C+Toby+Jia%2DJun+Li%2C+Shiqi+Jiang%2C+Yunhao+Liu%2C+Yaqin+Zhang%2C+and+Yunxin+Liu%2E+Empowering+llm+to+use+smartphone+for+intelligent+task+automation%2E+arXiv+)
237. Jiaxin Wen, Pei Ke, Hao Sun, Zhexin Zhang, Chengfei Li, Jinfeng Bai, and Minlie Huang. Unveiling the implicit toxicity in large language models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pp. 1322–1338, 2023b. [find](https://scholar.google.com/scholar?q=Jiaxin+Wen%2C+Pei+Ke%2C+Hao+Sun%2C+Zhexin+Zhang%2C+Chengfei+Li%2C+Jinfeng+Bai%2C+and+Minlie+Huang%2E+Unveiling+the+implicit+toxicity+in+large+language+models%2E+In+Proceedings+of+the+2023+Conference+on+Empirical+Meth)
238. Lilian Weng. Llm-powered autonomous agents. lilianweng.github.io, Jun 2023. URL [https://lilianweng.github.io/posts/2023-06-23-agent/](https://lilianweng.github.io/posts/2023-06-23-agent/). [↗](https://lilianweng.github.io/posts/2023-06-23-agent/)
239. Yixuan Weng, Shizhu He, Kang Liu, Shengping Liu, and Jun Zhao. Controllm: Crafting diverse personalities for language models. arXiv preprint arXiv:2402.10151, 2024. — [arXiv:2402.10151](https://arxiv.org/abs/2402.10151) [find](https://scholar.google.com/scholar?q=Yixuan+Weng%2C+Shizhu+He%2C+Kang+Liu%2C+Shengping+Liu%2C+and+Jun+Zhao%2E+Controllm%3A+Crafting+diverse+personalities+for+language+models%2E+arXiv+preprint+arXiv%3A2402%2E10151%2C+2024%2E+%E2%80%94+%5BarXiv%3A2402%2E10151%5D%28https%3A%2F%2Farxiv%2E)
240. Stanisław Woźniak, Bartłomiej Koptyra, Arkadiusz Janz, Przemysław Kazienko, and Jan Kocoń. Personalized large language models, 2024. [find](https://scholar.google.com/scholar?q=Stanis%C5%82aw+Wo%C5%BAniak%2C+Bart%C5%82omiej+Koptyra%2C+Arkadiusz+Janz%2C+Przemys%C5%82aw+Kazienko%2C+and+Jan+Koco%C5%84%2E+Personalized+large+language+models%2C+2024%2E)
241. Fangzhou Wu, Ning Zhang, Somesh Jha, Patrick McDaniel, and Chaowei Xiao. A new era in llm security: Exploring security concerns in real-world llm-based systems, 2024a. [find](https://scholar.google.com/scholar?q=Fangzhou+Wu%2C+Ning+Zhang%2C+Somesh+Jha%2C+Patrick+McDaniel%2C+and+Chaowei+Xiao%2E+A+new+era+in+llm+security%3A+Exploring+security+concerns+in+real%2Dworld+llm%2Dbased+systems%2C+2024a%2E)
242. Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, and Enhong Chen. A survey on large language models for recommendation, 2023. [find](https://scholar.google.com/scholar?q=Likang+Wu%2C+Zhi+Zheng%2C+Zhaopeng+Qiu%2C+Hao+Wang%2C+Hongchao+Gu%2C+Tingjia+Shen%2C+Chuan+Qin%2C+Chen+Zhu%2C+Hengshu+Zhu%2C+Qi+Liu%2C+Hui+Xiong%2C+and+Enhong+Chen%2E+A+survey+on+large+language+models+for+recommendation%2C+202)
243. Siye Wu, Jian Xie, Jiangjie Chen, Tinghui Zhu, Kai Zhang, and Yanghua Xiao. How easily do irrelevant inputs skew the responses of large language models? arXiv preprint arXiv:2404.03302, 2024b. [find](https://scholar.google.com/scholar?q=Siye+Wu%2C+Jian+Xie%2C+Jiangjie+Chen%2C+Tinghui+Zhu%2C+Kai+Zhang%2C+and+Yanghua+Xiao%2E+How+easily+do+irrelevant+inputs+skew+the+responses+of+large+language+models%3F+arXiv+preprint+arXiv%3A2404%2E03302%2C+2024b%2E)
244. Weiqi Wu, Hongqiu Wu, Lai Jiang, Xingyuan Liu, Hai Zhao, and Min Zhang. From role-play to drama-interaction: An LLM solution. In Lun-Wei Ku, Andre Martins, and Vivek Srikumar (eds.), Findings of the Association for Computational Linguistics ACL 2024, pp. 3271–3290, Bangkok, Thailand and virtual meet… [find](https://scholar.google.com/scholar?q=Weiqi+Wu%2C+Hongqiu+Wu%2C+Lai+Jiang%2C+Xingyuan+Liu%2C+Hai+Zhao%2C+and+Min+Zhang%2E+From+role%2Dplay+to+drama%2Dinteraction%3A+An+LLM+solution%2E+In+Lun%2DWei+Ku%2C+Andre+Martins%2C+and+Vivek+Srikumar+%28eds%2E%29%2C+Findings+of+the+A)
245. Yuhao Wu, Franziska Roesner, Tadayoshi Kohno, Ning Zhang, and Umar Iqbal. Secgpt: An execution isolation architecture for llm-based systems. arXiv preprint arXiv:2403.04960, 2024d. — [arXiv:2403.04960](https://arxiv.org/abs/2403.04960) [find](https://scholar.google.com/scholar?q=Yuhao+Wu%2C+Franziska+Roesner%2C+Tadayoshi+Kohno%2C+Ning+Zhang%2C+and+Umar+Iqbal%2E+Secgpt%3A+An+execution+isolation+architecture+for+llm%2Dbased+systems%2E+arXiv+preprint+arXiv%3A2403%2E04960%2C+2024d%2E+%E2%80%94+%5BarXiv%3A2403%2E04960)
246. Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Kai Shu, Adel Bibi, Ziniu Hu, Philip Torr, Bernard Ghanem, and Guohao Li. Can large language model agents simulate human trust behaviors?, 2024a. [find](https://scholar.google.com/scholar?q=Chengxing+Xie%2C+Canyu+Chen%2C+Feiran+Jia%2C+Ziyu+Ye%2C+Kai+Shu%2C+Adel+Bibi%2C+Ziniu+Hu%2C+Philip+Torr%2C+Bernard+Ghanem%2C+and+Guohao+Li%2E+Can+large+language+model+agents+simulate+human+trust+behaviors%3F%2C+2024a%2E)
247. Jian Xie, Kai Zhang, Jiangjie Chen, Renze Lou, and Yu Su. Adaptive chameleon or stubborn sloth: Revealing the behavior of large language models in knowledge conflicts. In The Twelfth International Conference on Learning Representations, 2023. [find](https://scholar.google.com/scholar?q=Jian+Xie%2C+Kai+Zhang%2C+Jiangjie+Chen%2C+Renze+Lou%2C+and+Yu+Su%2E+Adaptive+chameleon+or+stubborn+sloth%3A+Revealing+the+behavior+of+large+language+models+in+knowledge+conflicts%2E+In+The+Twelfth+International+Con) [our card](https://md.research.elamur.ai/free/en/papers/xie-2023-adaptive-chameleon-stubborn-sloth-revealing/)
248. Jian Xie, Kai Zhang, Jiangjie Chen, Tinghui Zhu, Renze Lou, Yuandong Tian, Yanghua Xiao, and Yu Su. Travelplanner: A benchmark for real-world planning with language agents. 2024b. [find](https://scholar.google.com/scholar?q=Jian+Xie%2C+Kai+Zhang%2C+Jiangjie+Chen%2C+Tinghui+Zhu%2C+Renze+Lou%2C+Yuandong+Tian%2C+Yanghua+Xiao%2C+and+Yu+Su%2E+Travelplanner%3A+A+benchmark+for+real%2Dworld+planning+with+language+agents%2E+2024b%2E)
249. Tianbao Xie, Danyang Zhang, Jixuan Chen, Xiaochuan Li, Siheng Zhao, Ruisheng Cao, Toh Jing Hua, Zhoujun Cheng, Dongchan Shin, Fangyu Lei, Yitao Liu, Yiheng Xu, Shuyan Zhou, Silvio Savarese, Caiming Xiong, Victor Zhong, and Tao Yu. Osworld: Benchmarking multimodal agents for open-ended tasks in real… [find](https://scholar.google.com/scholar?q=Tianbao+Xie%2C+Danyang+Zhang%2C+Jixuan+Chen%2C+Xiaochuan+Li%2C+Siheng+Zhao%2C+Ruisheng+Cao%2C+Toh+Jing+Hua%2C+Zhoujun+Cheng%2C+Dongchan+Shin%2C+Fangyu+Lei%2C+Yitao+Liu%2C+Yiheng+Xu%2C+Shuyan+Zhou%2C+Silvio+Savarese%2C+Caiming+Xi) [our card](https://md.research.elamur.ai/free/en/papers/xie-2024-osworld-benchmarking-multimodal-agents-open/)
250. Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Yongdong Zhang, and Zhendong Mao. Expertprompting: Instructing large language models to be distinguished experts, 2023a. [find](https://scholar.google.com/scholar?q=Benfeng+Xu%2C+An+Yang%2C+Junyang+Lin%2C+Quan+Wang%2C+Chang+Zhou%2C+Yongdong+Zhang%2C+and+Zhendong+Mao%2E+Expertprompting%3A+Instructing+large+language+models+to+be+distinguished+experts%2C+2023a%2E)
251. Chen Xu, Piji Li, Wei Wang, Haoran Yang, Siyun Wang, and Chuangbai Xiao. Cosplay: Concept set guided personalized dialogue generation across both party personas. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 201–211, 2022. [find](https://scholar.google.com/scholar?q=Chen+Xu%2C+Piji+Li%2C+Wei+Wang%2C+Haoran+Yang%2C+Siyun+Wang%2C+and+Chuangbai+Xiao%2E+Cosplay%3A+Concept+set+guided+personalized+dialogue+generation+across+both+party+personas%2E+In+Proceedings+of+the+45th+Internation)
252. Hainiu Xu, Runcong Zhao, Lixing Zhu, Jinhua Du, and Yulan He. Opentom: A comprehensive benchmark for evaluating theory-of-mind reasoning capabilities of large language models, 2024a. [find](https://scholar.google.com/scholar?q=Hainiu+Xu%2C+Runcong+Zhao%2C+Lixing+Zhu%2C+Jinhua+Du%2C+and+Yulan+He%2E+Opentom%3A+A+comprehensive+benchmark+for+evaluating+theory%2Dof%2Dmind+reasoning+capabilities+of+large+language+models%2C+2024a%2E)
253. Qiantong Xu, Fenglu Hong, Bo Li, Changran Hu, Zhengyu Chen, and Jian Zhang. On the tool manipulation capability of open-source large language models, 2023b. [find](https://scholar.google.com/scholar?q=Qiantong+Xu%2C+Fenglu+Hong%2C+Bo+Li%2C+Changran+Hu%2C+Zhengyu+Chen%2C+and+Jian+Zhang%2E+On+the+tool+manipulation+capability+of+open%2Dsource+large+language+models%2C+2023b%2E)
254. Rui Xu, Dakuan Lu, Xiaoyu Tan, Xintao Wang, Siyu Yuan, Jiangjie Chen, Wei Chu, and Xu Yinghui. Mindecho: Role-playing language agents for key opinion leaders. arXiv preprint arXiv:2407.05305, 2024b. — [arXiv:2407.05305](https://arxiv.org/abs/2407.05305) [find](https://scholar.google.com/scholar?q=Rui+Xu%2C+Dakuan+Lu%2C+Xiaoyu+Tan%2C+Xintao+Wang%2C+Siyu+Yuan%2C+Jiangjie+Chen%2C+Wei+Chu%2C+and+Xu+Yinghui%2E+Mindecho%3A+Role%2Dplaying+language+agents+for+key+opinion+leaders%2E+arXiv+preprint+arXiv%3A2407%2E05305%2C+2024b%2E+%E2%80%94)
255. Rui Xu, Xintao Wang, Jiangjie Chen, Siyu Yuan, Xinfeng Yuan, Jiaqing Liang, Zulong Chen, Xiaoqing Dong, and Yanghua Xiao. Character is destiny: Can large language models simulate persona-driven decisions in role-playing? arXiv preprint arXiv:2404.12138, 2024c. — [arXiv:2404.12138](https://arxiv.org/abs/2404.12138) [find](https://scholar.google.com/scholar?q=Rui+Xu%2C+Xintao+Wang%2C+Jiangjie+Chen%2C+Siyu+Yuan%2C+Xinfeng+Yuan%2C+Jiaqing+Liang%2C+Zulong+Chen%2C+Xiaoqing+Dong%2C+and+Yanghua+Xiao%2E+Character+is+destiny%3A+Can+large+language+models+simulate+persona%2Ddriven+decisi)
256. Yuzhuang Xu, Shuo Wang, Peng Li, Fuwen Luo, Xiaolong Wang, Weidong Liu, and Yang Liu. Exploring large language models for communication games: An empirical study on werewolf. arXiv preprint arXiv:2309.04658, 2023c. [find](https://scholar.google.com/scholar?q=Yuzhuang+Xu%2C+Shuo+Wang%2C+Peng+Li%2C+Fuwen+Luo%2C+Xiaolong+Wang%2C+Weidong+Liu%2C+and+Yang+Liu%2E+Exploring+large+language+models+for+communication+games%3A+An+empirical+study+on+werewolf%2E+arXiv+preprint+arXiv%3A2309)
257. Jintang Xue, Yun-Cheng Wang, Chengwei Wei, Xiaofeng Liu, Jonghye Woo, and C-C Jay Kuo. Bias and fairness in chatbots: An overview. arXiv preprint arXiv:2309.08836, 2023. — [arXiv:2309.08836](https://arxiv.org/abs/2309.08836) [find](https://scholar.google.com/scholar?q=Jintang+Xue%2C+Yun%2DCheng+Wang%2C+Chengwei+Wei%2C+Xiaofeng+Liu%2C+Jonghye+Woo%2C+and+C%2DC+Jay+Kuo%2E+Bias+and+fairness+in+chatbots%3A+An+overview%2E+arXiv+preprint+arXiv%3A2309%2E08836%2C+2023%2E+%E2%80%94+%5BarXiv%3A2309%2E08836%5D%28https%3A%2F%2Fa)
258. Sanae Yamashita, Koji Inoue, Ao Guo, Shota Mochizuki, Tatsuya Kawahara, and Ryuichiro Higashinaka. Realpersonachat: A realistic persona chat corpus with interlocutors’ own personalities. In Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation, pp. 852–861, 2023. [find](https://scholar.google.com/scholar?q=Sanae+Yamashita%2C+Koji+Inoue%2C+Ao+Guo%2C+Shota+Mochizuki%2C+Tatsuya+Kawahara%2C+and+Ryuichiro+Higashinaka%2E+Realpersonachat%3A+A+realistic+persona+chat+corpus+with+interlocutors%E2%80%99+own+personalities%2E+In+Proceeding)
259. Fan Yang, Zheng Chen, Ziyan Jiang, Eunah Cho, Xiaojiang Huang, and Yanbin Lu. Palr: Personalization aware llms for recommendation, 2023a. [find](https://scholar.google.com/scholar?q=Fan+Yang%2C+Zheng+Chen%2C+Ziyan+Jiang%2C+Eunah+Cho%2C+Xiaojiang+Huang%2C+and+Yanbin+Lu%2E+Palr%3A+Personalization+aware+llms+for+recommendation%2C+2023a%2E)
260. Rui Yang, Lin Song, Yanwei Li, Sijie Zhao, Yixiao Ge, Xiu Li, and Ying Shan. Gpt4tools: Teaching large language model to use tools via self-instruction. arXiv preprint arXiv:2305.18752, 2023b. [find](https://scholar.google.com/scholar?q=Rui+Yang%2C+Lin+Song%2C+Yanwei+Li%2C+Sijie+Zhao%2C+Yixiao+Ge%2C+Xiu+Li%2C+and+Ying+Shan%2E+Gpt4tools%3A+Teaching+large+language+model+to+use+tools+via+self%2Dinstruction%2E+arXiv+preprint+arXiv%3A2305%2E18752%2C+2023b%2E)
261. Shenghao Yang, Weizhi Ma, Peijie Sun, Qingyao Ai, Yiqun Liu, Mingchen Cai, and Min Zhang. Sequential recommendation with latent relations based on large language model, 2024. [find](https://scholar.google.com/scholar?q=Shenghao+Yang%2C+Weizhi+Ma%2C+Peijie+Sun%2C+Qingyao+Ai%2C+Yiqun+Liu%2C+Mingchen+Cai%2C+and+Min+Zhang%2E+Sequential+recommendation+with+latent+relations+based+on+large+language+model%2C+2024%2E)
262. Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Thomas L Griffiths, Yuan Cao, and Karthik Narasimhan. Tree of thoughts: Deliberate problem solving with large language models. arXiv preprint arXiv:2305.10601, 2023a. [find](https://scholar.google.com/scholar?q=Shunyu+Yao%2C+Dian+Yu%2C+Jeffrey+Zhao%2C+Izhak+Shafran%2C+Thomas+L+Griffiths%2C+Yuan+Cao%2C+and+Karthik+Narasimhan%2E+Tree+of+thoughts%3A+Deliberate+problem+solving+with+large+language+models%2E+arXiv+preprint+arXiv%3A23)
263. Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik R Narasimhan, and Yuan Cao. React: Synergizing reasoning and acting in language models. In The Eleventh International Conference on Learning Representations, 2023b. URL [https://openreview.net/forum?id=WE_vluYUL-X](https://openreview.net/forum?id=WE_vluYUL-X). [↗](https://openreview.net/forum?id=WE_vluYUL-X) [our card](https://md.research.elamur.ai/free/en/papers/yao-2022-react-synergizing-reasoning-acting-language/)
264. Keun Soo Yim. Privacy-friendly personalization of llm responses using hashed entity injection. 2023. [find](https://scholar.google.com/scholar?q=Keun+Soo+Yim%2E+Privacy%2Dfriendly+personalization+of+llm+responses+using+hashed+entity+injection%2E+2023%2E)
265. Wangsong Yin, Mengwei Xu, Yuanchun Li, and Xuanzhe Liu. Llm as a system service on mobile devices, 2024. [find](https://scholar.google.com/scholar?q=Wangsong+Yin%2C+Mengwei+Xu%2C+Yuanchun+Li%2C+and+Xuanzhe+Liu%2E+Llm+as+a+system+service+on+mobile+devices%2C+2024%2E)
266. Mo Yu, Yisi Sang, Kangsheng Pu, Zekai Wei, Han Wang, Jing Li, Yue Yu, and Jie Zhou. Few-shot character understanding in movies as an assessment to meta-learning of theory-of-mind. arXiv preprint arXiv:2211.04684, 2022. — [arXiv:2211.04684](https://arxiv.org/abs/2211.04684) [find](https://scholar.google.com/scholar?q=Mo+Yu%2C+Yisi+Sang%2C+Kangsheng+Pu%2C+Zekai+Wei%2C+Han+Wang%2C+Jing+Li%2C+Yue+Yu%2C+and+Jie+Zhou%2E+Few%2Dshot+character+understanding+in+movies+as+an+assessment+to+meta%2Dlearning+of+theory%2Dof%2Dmind%2E+arXiv+preprint+arXiv)
267. Mo Yu, Jiangnan Li, Shunyu Yao, Wenjie Pang, Xiaochen Zhou, Zhou Xiao, Fandong Meng, and Jie Zhou. Personality understanding of fictional characters during book reading. arXiv preprint arXiv:2305.10156, 2023. [find](https://scholar.google.com/scholar?q=Mo+Yu%2C+Jiangnan+Li%2C+Shunyu+Yao%2C+Wenjie+Pang%2C+Xiaochen+Zhou%2C+Zhou+Xiao%2C+Fandong+Meng%2C+and+Jie+Zhou%2E+Personality+understanding+of+fictional+characters+during+book+reading%2E+arXiv+preprint+arXiv%3A2305%2E1015)
268. Xiaoyan Yu, Tongxu Luo, Yifan Wei, Fangyu Lei, Yiming Huang, Peng Hao, and Liehuang Zhu. Neeko: Leveraging dynamic lora for efficient multi-character role-playing agent. arXiv preprint arXiv:2402.13717, 2024. [find](https://scholar.google.com/scholar?q=Xiaoyan+Yu%2C+Tongxu+Luo%2C+Yifan+Wei%2C+Fangyu+Lei%2C+Yiming+Huang%2C+Peng+Hao%2C+and+Liehuang+Zhu%2E+Neeko%3A+Leveraging+dynamic+lora+for+efficient+multi%2Dcharacter+role%2Dplaying+agent%2E+arXiv+preprint+arXiv%3A2402%2E1371)
269. Siyu Yuan, Jiangjie Chen, Ziquan Fu, Xuyang Ge, Soham Shah, Charles Jankowski, Yanghua Xiao, and Deqing Yang. Distilling script knowledge from large language models for constrained language planning. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1… [find](https://scholar.google.com/scholar?q=Siyu+Yuan%2C+Jiangjie+Chen%2C+Ziquan+Fu%2C+Xuyang+Ge%2C+Soham+Shah%2C+Charles+Jankowski%2C+Yanghua+Xiao%2C+and+Deqing+Yang%2E+Distilling+script+knowledge+from+large+language+models+for+constrained+language+planning%2E+)
270. Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Yongliang Shen, Ren Kan, Dongsheng Li, and Deqing Yang. Easytool: Enhancing llm-based agents with concise tool instruction. arXiv preprint arXiv:2401.06201, 2024a. [find](https://scholar.google.com/scholar?q=Siyu+Yuan%2C+Kaitao+Song%2C+Jiangjie+Chen%2C+Xu+Tan%2C+Yongliang+Shen%2C+Ren+Kan%2C+Dongsheng+Li%2C+and+Deqing+Yang%2E+Easytool%3A+Enhancing+llm%2Dbased+agents+with+concise+tool+instruction%2E+arXiv+preprint+arXiv%3A2401%2E062)
271. Xinfeng Yuan, Siyu Yuan, Yuhan Cui, Tianhe Lin, Xintao Wang, Rui Xu, Jiangjie Chen, and Deqing Yang. Evaluating character understanding of large language models via character profiling from fictional works. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 20… [find](https://scholar.google.com/scholar?q=Xinfeng+Yuan%2C+Siyu+Yuan%2C+Yuhan+Cui%2C+Tianhe+Lin%2C+Xintao+Wang%2C+Rui+Xu%2C+Jiangjie+Chen%2C+and+Deqing+Yang%2E+Evaluating+character+understanding+of+large+language+models+via+character+profiling+from+fictional+)
272. Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rogriguez, and Krishna P Gummadi. Fairness constraints: Mechanisms for fair classification. In Artificial intelligence and statistics, pp. 962–970. PMLR, 2017. [find](https://scholar.google.com/scholar?q=Muhammad+Bilal+Zafar%2C+Isabel+Valera%2C+Manuel+Gomez+Rogriguez%2C+and+Krishna+P+Gummadi%2E+Fairness+constraints%3A+Mechanisms+for+fair+classification%2E+In+Artificial+intelligence+and+statistics%2C+pp%2E+962%E2%80%93970%2E+PM)
273. Zheni Zeng, Jiayi Chen, Huimin Chen, Yukun Yan, Yuxuan Chen, Zhenghao Liu, Zhiyuan Liu, and Maosong Sun. Persllm: A personified training approach for large language models, 2024. URL https://arxiv.org/abs/2407.12393. [↗](https://arxiv.org/abs/2407.12393)
274. Hongxin Zhang, Weihua Du, Jiaming Shan, Qinhong Zhou, Yilun Du, Joshua Tenenbaum, Tianmin Shu, and Chuang Gan. Building cooperative embodied agents modularly with large language models. In NeurIPS 2023 Foundation Models for Decision Making Workshop, 2023a. URL [https://openreview.net/forum?](https://openreview.net/forum?) id=oBQVCT… [↗](https://openreview.net/forum?)
275. Jintian Zhang, Xin Xu, and Shumin Deng. Exploring collaboration mechanisms for llm agents: A social psychology view. arXiv preprint arXiv:2310.02124, 2023b. [find](https://scholar.google.com/scholar?q=Jintian+Zhang%2C+Xin+Xu%2C+and+Shumin+Deng%2E+Exploring+collaboration+mechanisms+for+llm+agents%3A+A+social+psychology+view%2E+arXiv+preprint+arXiv%3A2310%2E02124%2C+2023b%2E)
276. Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur Szlam, Douwe Kiela, and Jason Weston. Personalizing dialogue agents: I have a dog, do you have pets too? In Iryna Gurevych and Yusuke Miyao (eds.), Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Lon… [find](https://scholar.google.com/scholar?q=Saizheng+Zhang%2C+Emily+Dinan%2C+Jack+Urbanek%2C+Arthur+Szlam%2C+Douwe+Kiela%2C+and+Jason+Weston%2E+Personalizing+dialogue+agents%3A+I+have+a+dog%2C+do+you+have+pets+too%3F+In+Iryna+Gurevych+and+Yusuke+Miyao+%28eds%2E%29%2C+Pr) [our card](https://md.research.elamur.ai/free/en/papers/zhang-2018-personalizing-dialogue-agents-i-have/)
277. Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, and Ruiming Tang. Tired of plugins? large language models can be end-to-end recommenders, 2024a. [find](https://scholar.google.com/scholar?q=Wenlin+Zhang%2C+Chuhan+Wu%2C+Xiangyang+Li%2C+Yuhao+Wang%2C+Kuicai+Dong%2C+Yichao+Wang%2C+Xinyi+Dai%2C+Xiangyu+Zhao%2C+Huifeng+Guo%2C+and+Ruiming+Tang%2E+Tired+of+plugins%3F+large+language+models+can+be+end%2Dto%2Dend+recommend)
278. Wenxuan Zhang, Hongzhi Liu, Yingpeng Du, Chen Zhu, Yang Song, Hengshu Zhu, and Zhonghai Wu. Bridging the information gap between domain-specific model and general llm for personalized recommendation, 2023c. [find](https://scholar.google.com/scholar?q=Wenxuan+Zhang%2C+Hongzhi+Liu%2C+Yingpeng+Du%2C+Chen+Zhu%2C+Yang+Song%2C+Hengshu+Zhu%2C+and+Zhonghai+Wu%2E+Bridging+the+information+gap+between+domain%2Dspecific+model+and+general+llm+for+personalized+recommendation%2C+)
279. Xu Zhang and Xiaojun Wan. Automatically eliciting toxic outputs from pre-trained language models. 2023. [find](https://scholar.google.com/scholar?q=Xu+Zhang+and+Xiaojun+Wan%2E+Automatically+eliciting+toxic+outputs+from+pre%2Dtrained+language+models%2E+2023%2E)
280. Yikai Zhang, Siyu Yuan, Caiyu Hu, Kyle Richardson, Yanghua Xiao, and Jiangjie Chen. Timearena: Shaping efficient multitasking language agents in a time-aware simulation. arXiv preprint arXiv:2402.05733, 2024b. [find](https://scholar.google.com/scholar?q=Yikai+Zhang%2C+Siyu+Yuan%2C+Caiyu+Hu%2C+Kyle+Richardson%2C+Yanghua+Xiao%2C+and+Jiangjie+Chen%2E+Timearena%3A+Shaping+efficient+multitasking+language+agents+in+a+time%2Daware+simulation%2E+arXiv+preprint+arXiv%3A2402%2E0573)
281. Runcong Zhao, Wenjia Zhang, Jiazheng Li, Lixing Zhu, Yanran Li, Yulan He, and Lin Gui. Narrativeplay: Interactive narrative understanding. arXiv preprint arXiv:2310.01459, 2023a. [find](https://scholar.google.com/scholar?q=Runcong+Zhao%2C+Wenjia+Zhang%2C+Jiazheng+Li%2C+Lixing+Zhu%2C+Yanran+Li%2C+Yulan+He%2C+and+Lin+Gui%2E+Narrativeplay%3A+Interactive+narrative+understanding%2E+arXiv+preprint+arXiv%3A2310%2E01459%2C+2023a%2E)
282. Runcong Zhao, Qinglin Zhu, Hainiu Xu, Jiazheng Li, Yuxiang Zhou, Yulan He, and Lin Gui. Large language models fall short: Understanding complex relationships in detective narratives. arXiv preprint arXiv:2402.11051, 2024. [find](https://scholar.google.com/scholar?q=Runcong+Zhao%2C+Qinglin+Zhu%2C+Hainiu+Xu%2C+Jiazheng+Li%2C+Yuxiang+Zhou%2C+Yulan+He%2C+and+Lin+Gui%2E+Large+language+models+fall+short%3A+Understanding+complex+relationships+in+detective+narratives%2E+arXiv+preprint+ar)
283. Yilin Zhao, Xinbin Yuan, Shanghua Gao, Zhijie Lin, Qibin Hou, Jiashi Feng, and Daquan Zhou. Chatany-thing: A framework for generating anthropomorphized personas for llm-based characters. arXiv preprint arXiv:2311.06772v1, 2023b. — [arXiv:2311.06772](https://arxiv.org/abs/2311.06772) [find](https://scholar.google.com/scholar?q=Yilin+Zhao%2C+Xinbin+Yuan%2C+Shanghua+Gao%2C+Zhijie+Lin%2C+Qibin+Hou%2C+Jiashi+Feng%2C+and+Daquan+Zhou%2E+Chatany%2Dthing%3A+A+framework+for+generating+anthropomorphized+personas+for+llm%2Dbased+characters%2E+arXiv+preprin)
284. Mingqian Zheng, Jiaxin Pei, and David Jurgens. Is" a helpful assistant" the best role for large language models? a systematic evaluation of social roles in system prompts. arXiv preprint arXiv:2311.10054, 2023a. — [arXiv:2311.10054](https://arxiv.org/abs/2311.10054) [find](https://scholar.google.com/scholar?q=Mingqian+Zheng%2C+Jiaxin+Pei%2C+and+David+Jurgens%2E+Is%22+a+helpful+assistant%22+the+best+role+for+large+language+models%3F+a+systematic+evaluation+of+social+roles+in+system+prompts%2E+arXiv+preprint+arXiv%3A2311%2E10)
285. Yi Zheng, Haibin Huang, Chongyang Ma, and Kanle Shi. Okr-agent: An object and key results driven agent system with hierarchical self-collaboration and self-evaluation. 2023b. [find](https://scholar.google.com/scholar?q=Yi+Zheng%2C+Haibin+Huang%2C+Chongyang+Ma%2C+and+Kanle+Shi%2E+Okr%2Dagent%3A+An+object+and+key+results+driven+agent+system+with+hierarchical+self%2Dcollaboration+and+self%2Devaluation%2E+2023b%2E)
286. Yinhe Zheng, Zikai Chen, Rongsheng Zhang, Shilei Huang, Xiaoxi Mao, and Minlie Huang. Stylized dialogue response generation using stylized unpaired texts. Proceedings of the AAAI Conference on Artificial Intelligence, 35(16):14558–14567, May 2021. doi: 10.1609/aaai.v35i16.17711. URL [https://ojs.aaa…](https://ojs.aaa…) — [doi:10.1609/aaai.v35i16.17711](https://doi.org/10.1609/aaai.v35i16.17711) [↗](https://ojs.aaa…)
287. Zhi Zheng, Zhaopeng Qiu, Xiao Hu, Likang Wu, Hengshu Zhu, and Hui Xiong. Generative job recommendations with large language models. arXiv preprint arXiv:2307.02157, 2023c. — [arXiv:2307.02157](https://arxiv.org/abs/2307.02157) [find](https://scholar.google.com/scholar?q=Zhi+Zheng%2C+Zhaopeng+Qiu%2C+Xiao+Hu%2C+Likang+Wu%2C+Hengshu+Zhu%2C+and+Hui+Xiong%2E+Generative+job+recommendations+with+large+language+models%2E+arXiv+preprint+arXiv%3A2307%2E02157%2C+2023c%2E+%E2%80%94+%5BarXiv%3A2307%2E02157%5D%28https%3A%2F)
288. Wanjun Zhong, Lianghong Guo, Qiqi Gao, and Yanlin Wang. Memorybank: Enhancing large language models with long-term memory. arXiv preprint arXiv:2305.10250, 2023. [find](https://scholar.google.com/scholar?q=Wanjun+Zhong%2C+Lianghong+Guo%2C+Qiqi+Gao%2C+and+Yanlin+Wang%2E+Memorybank%3A+Enhancing+large+language+models+with+long%2Dterm+memory%2E+arXiv+preprint+arXiv%3A2305%2E10250%2C+2023%2E)
289. Jinfeng Zhou, Zhuang Chen, Dazhen Wan, Bosi Wen, Yi Song, Jifan Yu, Yongkang Huang, Libiao Peng, Jiaming Yang, Xiyao Xiao, et al. Characterglm: Customizing chinese conversational ai characters with large language models. arXiv preprint arXiv:2311.16832, 2023a. [find](https://scholar.google.com/scholar?q=Jinfeng+Zhou%2C+Zhuang+Chen%2C+Dazhen+Wan%2C+Bosi+Wen%2C+Yi+Song%2C+Jifan+Yu%2C+Yongkang+Huang%2C+Libiao+Peng%2C+Jiaming+Yang%2C+Xiyao+Xiao%2C+et+al%2E+Characterglm%3A+Customizing+chinese+conversational+ai+characters+with+la)
290. Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, and Prithviraj Ammanabrolu. I cast detect thoughts: Learning to converse and guide with intents and theory-of-mind in dungeons and dragons, 2023b. [find](https://scholar.google.com/scholar?q=Pei+Zhou%2C+Andrew+Zhu%2C+Jennifer+Hu%2C+Jay+Pujara%2C+Xiang+Ren%2C+Chris+Callison%2DBurch%2C+Yejin+Choi%2C+and+Prithviraj+Ammanabrolu%2E+I+cast+detect+thoughts%3A+Learning+to+converse+and+guide+with+intents+and+theory%2Do)
291. Wangchunshu Zhou, Qifei Li, and Chenle Li. Learning to predict persona information for dialogue personalization without explicit persona description. In Anna Rogers, Jordan Boyd-Graber, and Naoaki Okazaki (eds.), Findings of the Association for Computational Linguistics: ACL 2023, pp. 2979–2991, Tor… [find](https://scholar.google.com/scholar?q=Wangchunshu+Zhou%2C+Qifei+Li%2C+and+Chenle+Li%2E+Learning+to+predict+persona+information+for+dialogue+personalization+without+explicit+persona+description%2E+In+Anna+Rogers%2C+Jordan+Boyd%2DGraber%2C+and+Naoaki+Oka)
292. Xuhui Zhou, Zhe Su, Tiwalayo Eisape, Hyunwoo Kim, and Maarten Sap. Is this the real life? is this just fantasy? the misleading success of simulating social interactions with llms. arXiv preprint arXiv:2403.05020, 2024a. [find](https://scholar.google.com/scholar?q=Xuhui+Zhou%2C+Zhe+Su%2C+Tiwalayo+Eisape%2C+Hyunwoo+Kim%2C+and+Maarten+Sap%2E+Is+this+the+real+life%3F+is+this+just+fantasy%3F+the+misleading+success+of+simulating+social+interactions+with+llms%2E+arXiv+preprint+arXiv)
293. Xuhui Zhou, Hao Zhu, Leena Mathur, Ruohong Zhang, Haofei Yu, Zhengyang Qi, Louis-Philippe Morency, Yonatan Bisk, Daniel Fried, Graham Neubig, and Maarten Sap. SOTOPIA: Interactive evaluation for social intelligence in language agents. In The Twelfth International Conference on Learning Representatio… [find](https://scholar.google.com/scholar?q=Xuhui+Zhou%2C+Hao+Zhu%2C+Leena+Mathur%2C+Ruohong+Zhang%2C+Haofei+Yu%2C+Zhengyang+Qi%2C+Louis%2DPhilippe+Morency%2C+Yonatan+Bisk%2C+Daniel+Fried%2C+Graham+Neubig%2C+and+Maarten+Sap%2E+SOTOPIA%3A+Interactive+evaluation+for+socia) [our card](https://md.research.elamur.ai/free/en/papers/zhou-2023-sotopia-interactive-evaluation-social-intelligence/)
294. Yujia Zhou, Qiannan Zhu, Jiajie Jin, and Zhicheng Dou. Cognitive personalized search integrating large language models with an efficient memory mechanism, 2024c. [find](https://scholar.google.com/scholar?q=Yujia+Zhou%2C+Qiannan+Zhu%2C+Jiajie+Jin%2C+and+Zhicheng+Dou%2E+Cognitive+personalized+search+integrating+large+language+models+with+an+efficient+memory+mechanism%2C+2024c%2E)
295. Andrew Zhu, Lara Martin, Andrew Head, and Chris Callison-Burch. Calypso: Llms as dungeon masters’ assistants. In Proceedings of the Nineteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE ’23. AAAI Press, 2023a. ISBN 1-57735-883-X. doi: 10.1609/aiide.v19i1.… — [doi:10.1609/aiide.v19i1.27534](https://doi.org/10.1609/aiide.v19i1.27534) [find](https://scholar.google.com/scholar?q=Andrew+Zhu%2C+Lara+Martin%2C+Andrew+Head%2C+and+Chris+Callison%2DBurch%2E+Calypso%3A+Llms+as+dungeon+masters%E2%80%99+assistants%2E+In+Proceedings+of+the+Nineteenth+AAAI+Conference+on+Artificial+Intelligence+and+Interactiv)
296. Xizhou Zhu, Yuntao Chen, Hao Tian, Chenxin Tao, Weijie Su, Chenyu Yang, Gao Huang, Bin Li, Lewei Lu, Xiaogang Wang, Yu Qiao, Zhaoxiang Zhang, and Jifeng Dai. Ghost in the minecraft: Generally capable agents for open-world environments via large language models with text-based knowledge and memory. a… [find](https://scholar.google.com/scholar?q=Xizhou+Zhu%2C+Yuntao+Chen%2C+Hao+Tian%2C+Chenxin+Tao%2C+Weijie+Su%2C+Chenyu+Yang%2C+Gao+Huang%2C+Bin+Li%2C+Lewei+Lu%2C+Xiaogang+Wang%2C+Yu+Qiao%2C+Zhaoxiang+Zhang%2C+and+Jifeng+Dai%2E+Ghost+in+the+minecraft%3A+Generally+capable+)
297. Yuchen Zhuang, Yue Yu, Kuan Wang, Haotian Sun, and Chao Zhang. Toolqa: A dataset for llm question answering with external tools. Advances in Neural Information Processing Systems, 36, 2024. [find](https://scholar.google.com/scholar?q=Yuchen+Zhuang%2C+Yue+Yu%2C+Kuan+Wang%2C+Haotian+Sun%2C+and+Chao+Zhang%2E+Toolqa%3A+A+dataset+for+llm+question+answering+with+external+tools%2E+Advances+in+Neural+Information+Processing+Systems%2C+36%2C+2024%2E) [our card](https://md.research.elamur.ai/free/en/papers/zhuang-2023-toolqa-dataset-llm-question-answering/)