--- title: "AI & machine learning — papers, page 4" description: "AI & machine learning: 240 papers of the Elamur Research library · page 4 of 10 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/ai/page/4/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/ai/page/4/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [AI & machine learning](https://md.research.elamur.ai/free/en/shelves/ai/) / page 4 # 🤖 AI & machine learning 240 papers · page 4 of 10 · newest first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Neural networks and learning, reasoning, knowledge graphs, continual and interactive learning, how AI is evaluated. [← prev](https://md.research.elamur.ai/free/en/shelves/ai/page/3/) [1](https://md.research.elamur.ai/free/en/shelves/ai/) [2](https://md.research.elamur.ai/free/en/shelves/ai/page/2/) [3](https://md.research.elamur.ai/free/en/shelves/ai/page/3/) **4** [5](https://md.research.elamur.ai/free/en/shelves/ai/page/5/) … [10](https://md.research.elamur.ai/free/en/shelves/ai/page/10/) [next →](https://md.research.elamur.ai/free/en/shelves/ai/page/5/) - [CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society](https://md.research.elamur.ai/free/en/papers/li-2023-camel-communicative-agents-mind/) — Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, et al. · 2023 - [Can AI-Generated Text be Reliably Detected?](https://md.research.elamur.ai/free/en/papers/sadasivan-2023-ai-generated-text-reliably-detected/) — Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, et al. · 2023 - [Can GPT-3 Perform Statutory Reasoning?](https://md.research.elamur.ai/free/en/papers/blair-2023-stanek-gpt-3-perform-statutory-reasoning/) — Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme · 2023 - [Certifying LLM Safety against Adversarial Prompting](https://md.research.elamur.ai/free/en/papers/kumar-2023-certifying-llm-safety-against-adversarial/) — Aounon Kumar, Chirag Agarwal, Suraj Srinivas, et al. · 2023 - [ChatDev: Communicative Agents for Software Development](https://md.research.elamur.ai/free/en/papers/qian-2023-chatdev-communicative-agents-software/) — Chen Qian, Wei Liu, Hongzhang Liu, et al. · 2023 - [ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge](https://md.research.elamur.ai/free/en/papers/li-2023-chatdoctor-medical-chat-model-fine/) — Yunxiang Li, Zihan Li, Kai Zhang, et al. · 2023 - [ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate](https://md.research.elamur.ai/free/en/papers/chan-2023-chateval-better-llm-based/) — Chi-Min Chan, Weize Chen, Yusheng Su, et al. · 2023 - [ChatGPT as a Factual Inconsistency Evaluator for Text Summarization](https://md.research.elamur.ai/free/en/papers/luo-2023-chatgpt-factual-inconsistency-evaluator-text/) — Zheheng Luo, Qianqian Xie, Sophia Ananiadou · 2023 - [ChatGPT vs Human-authored Text: Insights into Controllable Text Summarization and Sentence Style Transfer](https://md.research.elamur.ai/free/en/papers/liu-2023-chatgpt-vs-human-authored-text/) — Dongqi Liu, Vera Demberg · 2023 - [ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning](https://md.research.elamur.ai/free/en/papers/tornberg-2023-chatgpt-4-outperforms-experts-crowd/) — Petter Tornberg · 2023 - [ChatGPT: Jack of all trades, master of none](https://md.research.elamur.ai/free/en/papers/kocon-2023-chatgpt-jack-all-trades-master/) — Jan Kocon, Igor Cichecki, Oliwier Kaszyca, et al. · 2023 - [DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models](https://md.research.elamur.ai/free/en/papers/wang-2023-decodingtrust-comprehensive-assessment-trustworthiness-gpt/) — Boxin Wang, Weixin Chen, Hengzhi Pei, et al. · 2023 - [DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models](https://md.research.elamur.ai/free/en/papers/jacobs-2023-deepspeed-ulysses-system-optimizations-enabling/) — Sam Ade Jacobs, Masahiro Tanaka, Chengming Zhang, et al. · 2023 - [Dependency Dialogue Acts — Annotation Scheme and Case Study](https://md.research.elamur.ai/free/en/papers/cai-2023-dependency-dialogue-acts-annotation-scheme/) — Jon Z. Cai, Brendan King, Margaret Perkoff, et al. · 2023 - [DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature](https://md.research.elamur.ai/free/en/papers/mitchell-2023-detectgpt-zero-shot-machine-generated/) — Eric Mitchell, Yoonho Lee, Alexander Khazatsky, et al. · 2023 - [DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew](https://md.research.elamur.ai/free/en/papers/arxivrecent-2023-shmidman-dictabert-state-art-bert-suite/) — Shaltiel Shmidman, Avi Shmidman, Moshe Koppel · 2023 - [Eliciting Latent Predictions from Transformers with the Tuned Lens](https://md.research.elamur.ai/free/en/papers/belrose-2023-eliciting-latent-predictions-transformers-tuned/) — Nora Belrose, Igor Ostrovsky, Lev McKinney, et al. · 2023 - [Evaluating statistical language models as pragmatic reasoners](https://md.research.elamur.ai/free/en/papers/lipkin-2023-evaluating-statistical-language-models-pragmatic/) — Benjamin Lipkin, Lionel Wong, Gabriel Grand, et al. · 2023 - [Exploring the Relationship between LLM Hallucinations and Prompt Linguistic Nuances: Readability, Formality, and Concreteness](https://md.research.elamur.ai/free/en/papers/rawte-2023-exploring-relationship-between-llm-hallucinations/) — Vipula Rawte, Prachi Priya, S.M Towhidul Islam Tonmoy, et al. · 2023 - [Factuality Challenges in the Era of Large Language Models](https://md.research.elamur.ai/free/en/papers/augenstein-2023-factuality-challenges-era-large-language/) — Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, et al. · 2023 - [Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature](https://md.research.elamur.ai/free/en/papers/bao-2023-fast-detectgpt-efficient-zero-shot/) — Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, et al. · 2023 - [Fine-tuning Language Models for Factuality](https://md.research.elamur.ai/free/en/papers/tian-2023-fine-tuning-language-models-factuality/) — Katherine Tian, Eric Mitchell, Huaxiu Yao, et al. · 2023 - [GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction](https://md.research.elamur.ai/free/en/papers/sainz-2023-gollie-annotation-guidelines-improve-zero/) — Oscar Sainz, Iker Garcia-Ferrero, Rodrigo Agerri, et al. · 2023 - [GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts](https://md.research.elamur.ai/free/en/papers/yu-2023-gptfuzzer-red-teaming-large-language/) — Jiahao Yu, Xingwei Lin, Zheng Yu, et al. · 2023 - [GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints](https://md.research.elamur.ai/free/en/papers/ainslie-2023-gqa-training-generalized-multi-query/) — Joshua Ainslie, James Lee-Thorp, Michiel de Jong, et al. · 2023 [← prev](https://md.research.elamur.ai/free/en/shelves/ai/page/3/) [1](https://md.research.elamur.ai/free/en/shelves/ai/) [2](https://md.research.elamur.ai/free/en/shelves/ai/page/2/) [3](https://md.research.elamur.ai/free/en/shelves/ai/page/3/) **4** [5](https://md.research.elamur.ai/free/en/shelves/ai/page/5/) … [10](https://md.research.elamur.ai/free/en/shelves/ai/page/10/) [next →](https://md.research.elamur.ai/free/en/shelves/ai/page/5/)