---
title: "Who cites Xiang Gao — 671 papers of our library"
description: "671 papers of the Elamur Research library cite the works of Xiang Gao, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/xiang-gao/cited-by/"
---
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# Who cites Xiang Gao

678 citations of their works from 671 papers of our library (of the 141,840 whose bibliographies we read) · 66 with a page here, the most cited first · [← Xiang Gao](https://md.research.elamur.ai/free/en/authors/xiang-gao/)

1. [**Survey of Hallucination in Natural Language Generation**Ziwei Ji, Nayeon Lee, Rita Frieske, et al.*2022 · 5,957 citations*](https://md.research.elamur.ai/free/en/papers/ji-2022-survey-hallucination-natural-language-generation/)
2. [**A Survey of Large Language Models**Wayne Xin Zhao, Kun Zhou, Junyi Li, et al.*2023 · 2,863 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-survey-large-language-models/)
3. [**LaMDA: Language Models for Dialog Applications**Romal Thoppilan, Daniel De Freitas, Jamie Hall, et al.*2022 · 1,326 citations*](https://md.research.elamur.ai/free/en/papers/thoppilan-2022-lamda-language-models-dialog-applications/)
4. [**Recipes for Building an Open-Domain Chatbot**Stephen Roller, Emily Dinan, Naman Goyal, et al.*2021 · 1,208 citations*](https://md.research.elamur.ai/free/en/papers/roller-2021-recipes-building-open-domain-chatbot/)
5. [**Extracting Training Data from Large Language Models**Nicholas Carlini, Florian Tramer, Eric Wallace, et al.*2020 · 911 citations*](https://md.research.elamur.ai/free/en/papers/carlini-2020-extracting-training-data-large-language/)
6. [**BloombergGPT: A Large Language Model for Finance**Shijie Wu, Ozan Irsoy, Steven Lu, et al.*2023 · 612 citations*](https://md.research.elamur.ai/free/en/papers/wu-2023-bloomberggpt-large-language-model-finance/)
7. [**Towards a Human-like Open-Domain Chatbot**Daniel Adiwardana, Minh-Thang Luong, David R. So, et al.*2020 · 581 citations*](https://md.research.elamur.ai/free/en/papers/adiwardana-2020-towards-human-like-open-domain/)
8. [**Security and Privacy Challenges of Large Language Models: A Survey**Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu*2024 · 422 citations*](https://md.research.elamur.ai/free/en/papers/das-2024-security-privacy-challenges-large-language/)
9. [**A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support**Ashish Sharma, Adam Miner, David Atkins, et al.*2020 · 408 citations*](https://md.research.elamur.ai/free/en/papers/sharma-2020-computational-approach-understanding-empathy-expressed/)
10. [**Towards Emotional Support Dialog Systems**Siyang Liu, Chujie Zheng, Orianna Demasi, et al.*2021 · 391 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-emotional-support-dialog-systems/)
11. [**The CoNLL-2010 Shared Task: Learning to Detect Hedges and their Scope in Natural Language Text**Richárd Farkas, Veronika Vincze, György Móra, et al.*2010 · 370 citations*](https://md.research.elamur.ai/free/en/papers/farkas-2010-conll-2010-shared-task-learning/)
12. [**TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue**Chien-Sheng Wu, Steven C.H. Hoi, Richard Socher, et al.*2020 · 361 citations*](https://md.research.elamur.ai/free/en/papers/wu-2020-tod-bert-pre-trained-natural/)
13. [**Internet-Augmented Dialogue Generation**Mojtaba Komeili, Kurt Shuster, Jason Weston*2022 · 351 citations*](https://md.research.elamur.ai/free/en/papers/komeili-2022-internet-augmented-dialogue-generation/)
14. [**Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data**Canwen Xu, Daya Guo, Nan Duan, et al.*2023 · 296 citations*](https://md.research.elamur.ai/free/en/papers/xu-2023-baize-open-source-chat-model/)
15. [**Towards Understanding and Mitigating Social Biases in Language Models**Paul Pu Liang, Chiyu Wu, Louis-Philippe Morency, et al.*2021 · 265 citations*](https://md.research.elamur.ai/free/en/papers/liang-2021-towards-understanding-mitigating-social-biases/)
16. [**Societal Biases in Language Generation: Progress and Challenges**Emily Sheng, Kai-Wei Chang, Prem Natarajan, et al.*2021 · 253 citations*](https://md.research.elamur.ai/free/en/papers/sheng-2021-societal-biases-language-generation-progress/)
17. [**MedDialog: Large-scale Medical Dialogue Datasets**Guangtao Zeng, Wenmian Yang, Zeqian Ju, et al.*2020 · 247 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2020-meddialog-large-scale-medical-dialogue/)
18. [**Automatic Detection of Machine Generated Text: A Critical Survey**Ganesh Jawahar, Muhammad Abdul-Mageed, Laks Lakshmanan V.S.*2020 · 245 citations*](https://md.research.elamur.ai/free/en/papers/jawahar-2020-automatic-detection-machine-generated-text/)
19. [**Knowledge-Grounded Dialogue Generation with Pre-trained Language Models**Xueliang Zhao, Wei Wu, Can Xu, et al.*2020 · 245 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2020-knowledge-grounded-dialogue-generation-pre/)
20. [**MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems**Zhaojiang Lin, Andrea Madotto, Genta Indra Winata, et al.*2020 · 240 citations*](https://md.research.elamur.ai/free/en/papers/lin-2020-mintl-minimalist-transfer-learning-task/)
21. [**BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage**Kurt Shuster, Jing Xu, Mojtaba Komeili, et al.*2022 · 237 citations*](https://md.research.elamur.ai/free/en/papers/shuster-2022-blenderbot-3-deployed-conversational-agent/)
22. [**Unsupervised Evaluation of Interactive Dialog with DialoGPT**Shikib Mehri, Maxine Eskenazi*2020 · 223 citations*](https://md.research.elamur.ai/free/en/papers/mehri-2020-unsupervised-evaluation-interactive-dialog-dialogpt/)
23. [**Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment**Yang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li*2023 · 220 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-trustworthy-llms-survey-guideline-evaluating/)
24. [**Towards a Unified Multi-Dimensional Evaluator for Text Generation**Ming Zhong, Yang Liu, Da Yin, et al.*2022 · 205 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2022-unified-multi-dimensional-evaluator-text/)
25. [**A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets**Md Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.*2023 · 200 citations*](https://md.research.elamur.ai/free/en/papers/laskar-2023-systematic-study-comprehensive-evaluation-chatgpt/)
26. [**Knowledge Conflicts for LLMs: A Survey**Rongwu Xu, Zehan Qi, Zhijiang Guo, et al.*2024 · 179 citations*](https://md.research.elamur.ai/free/en/papers/xu-2024-knowledge-conflicts-llms-survey/)
27. [**Evaluating Large Language Models: A Comprehensive Survey**Zishan Guo, Renren Jin, Chuang Liu, et al.*2023 · 178 citations*](https://md.research.elamur.ai/free/en/papers/guo-2023-evaluating-large-language-models-comprehensive/)
28. [**Towards Controllable Biases in Language Generation**Emily Sheng, Kai-Wei Chang, Prem Natarajan, et al.*2020 · 167 citations*](https://md.research.elamur.ai/free/en/papers/sheng-2020-controllable-biases-language-generation/)
29. [**“I'm sorry to hear that”: Finding New Biases in Language Models with a Holistic Descriptor Dataset**Eric Michael Smith, Melissa Hall, Melanie Kambadur, et al.*2022 · 165 citations*](https://md.research.elamur.ai/free/en/papers/smith-2022-i-m-sorry-hear-that/)
30. [**Moshi: a speech-text foundation model for real-time dialogue**Alexandre Defossez, Laurent Mazare, Manu Orsini, et al.*2024 · 154 citations*](https://md.research.elamur.ai/free/en/papers/defossez-2024-moshi-speech-text-foundation-model/)
31. [**ProsocialDialog: A Prosocial Backbone for Conversational Agents**Hyunwoo Kim, Youngjae Yu, Liwei Jiang, et al.*2022 · 150 citations*](https://md.research.elamur.ai/free/en/papers/kim-2022-prosocialdialog-prosocial-backbone-conversational-agents/)
32. [**Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding**Nouha Dziri, Andrea Madotto, Osmar Zaïane, et al.*2021 · 149 citations*](https://md.research.elamur.ai/free/en/papers/dziri-2021-neural-path-hunter-reducing-hallucination/)
33. [**RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder**Shitao Xiao, Zheng Liu, Yingxia Shao, et al.*2022 · 145 citations*](https://md.research.elamur.ai/free/en/papers/xiao-2022-retromae-pre-training-retrieval-oriented/)
34. [**GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems**Lishan Huang, Zheng Ye, Jinghui Qin, et al.*2020 · 144 citations*](https://md.research.elamur.ai/free/en/papers/huang-2020-grade-automatic-graph-enhanced-coherence/)
35. [**Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features**Hannah Rashkin, David Reitter, Gaurav Singh Tomar, et al.*2021 · 140 citations*](https://md.research.elamur.ai/free/en/papers/rashkin-2021-increasing-faithfulness-knowledge-grounded-dialogue/)
36. [**TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation**Adaku Uchendu, Zeyu Ma, Thai Le, et al.*2021 · 140 citations*](https://md.research.elamur.ai/free/en/papers/uchendu-2021-turingbench-benchmark-environment-turing-test/)
37. [**Bot-Adversarial Dialogue for Safe Conversational Agents**Jing Xu, Da Ju, Margaret Li, et al.*2021 · 139 citations*](https://md.research.elamur.ai/free/en/papers/xu-2021-bot-adversarial-dialogue-safe-conversational/)
38. [**FaithDial: A Faithful Benchmark for Information-Seeking Dialogue**Nouha Dziri, Ehsan Kamalloo, Sivan Milton, et al.*2022 · 138 citations*](https://md.research.elamur.ai/free/en/papers/dziri-2022-faithdial-faithful-benchmark-information-seeking/)
39. [**Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt Completion**Kurt Shuster, Mojtaba Komeili, Leonard Adolphs, et al.*2022 · 131 citations*](https://md.research.elamur.ai/free/en/papers/shuster-2022-language-models-that-seek-knowledge/)
40. [**Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration**Yang Deng, Lizi Liao, Liang Chen, et al.*2023 · 128 citations*](https://md.research.elamur.ai/free/en/papers/deng-2023-prompting-evaluating-large-language-models/)
41. [**A Comprehensive Assessment of Dialog Evaluation Metrics**Yi-Ting Yeh, Maxine Eskenazi, Shikib Mehri*2021 · 128 citations*](https://md.research.elamur.ai/free/en/papers/yeh-2021-comprehensive-assessment-dialog-evaluation-metrics/)
42. [**Generative Spoken Dialogue Language Modeling**Tu Anh Nguyen, Eugene Kharitonov, Jade Copet, et al.*2023 · 122 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2023-generative-spoken-dialogue-language-modeling/)
43. [**The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems**Caleb Ziems, Jane A. Yu, Yi-Chia Wang, et al.*2022 · 121 citations*](https://md.research.elamur.ai/free/en/papers/ziems-2022-moral-integrity-corpus-benchmark-ethical/)
44. [**Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation**Yixin Liu, Alexander R. Fabbri, Pengfei Liu, et al.*2022 · 116 citations*](https://md.research.elamur.ai/free/en/papers/liu-2022-revisiting-gold-standard-grounding-summarization/)
45. [**On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark**Hao Sun, Guangxuan Xu, Jiawen Deng, et al.*2022 · 102 citations*](https://md.research.elamur.ai/free/en/papers/sun-2022-safety-conversational-models-taxonomy-dataset/)
46. [**I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling**Yixin Nie, Mary Williamson, Mohit Bansal, et al.*2021 · 101 citations*](https://md.research.elamur.ai/free/en/papers/nie-2021-i-like-fish-especially-dolphins/)
47. [**FireAct: Toward Language Agent Fine-tuning**Baian Chen, Chang Shu, Ehsan Shareghi, et al.*2023 · 96 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-fireact-toward-language-agent-fine/)
48. [**f-Divergence Minimization for Sequence-Level Knowledge Distillation**Yuqiao Wen, Zichao Li, Wenyu Du, et al.*2023 · 91 citations*](https://md.research.elamur.ai/free/en/papers/wen-2023-f-divergence-minimization-sequence-level/)
49. [**Trading Off Diversity and Quality in Natural Language Generation**Hugh Zhang, Daniel Duckworth, Daphne Ippolito, et al.*2021 · 85 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2021-trading-off-diversity-quality-natural/)
50. [**ORCA: A Challenging Benchmark for Arabic Language Understanding**AbdelRahim Elmadany, ElMoatez Billah Nagoudi, Muhammad Abdul-Mageed*2023 · 83 citations*](https://md.research.elamur.ai/free/en/papers/elmadany-2023-orca-challenging-benchmark-arabic-language/)
51. [**Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation**Kushal Arora, Layla El Asri, Hareesh Bahuleyan, et al.*2022 · 80 citations*](https://md.research.elamur.ai/free/en/papers/arora-2022-why-exposure-bias-matters-imitation/)
52. [**Unveiling the Implicit Toxicity in Large Language Models**Jiaxin Wen, Pei Ke, Hao Sun, et al.*2023 · 71 citations*](https://md.research.elamur.ai/free/en/papers/wen-2023-unveiling-implicit-toxicity-large-language/)
53. [**"I'd rather just go to bed": Understanding Indirect Answers**Annie Louis, Dan Roth, Filip Radlinski*2020 · 70 citations*](https://md.research.elamur.ai/free/en/papers/louis-2020-i-d-rather-just-go/)
54. [**Multi-Domain Dialogue Acts and Response Co-Generation**Kai Wang, Junfeng Tian, Rui Wang, et al.*2020 · 66 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-multi-domain-dialogue-acts-response/)
55. [**Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality**Pei Zhou, Hyundong Cho, Pegah Jandaghi, et al.*2022 · 34 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2022-reflect-not-reflex-inference-based/)
56. [**Assessing Discourse Relations in Language Generation from GPT-2**Wei-Jen Ko, Junyi Jessy Li*2020 · 30 citations*](https://md.research.elamur.ai/free/en/papers/ko-2020-assessing-discourse-relations-language-generation/)
57. [**Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering**Runxuan Liu, Bei Luo, Jiaqi Li, et al.*2025 · 15 citations*](https://md.research.elamur.ai/free/en/papers/liu-2025-ontology-guided-reverse-thinking-makes/)
58. [**Should a Chatbot be Sarcastic? Understanding User Preferences Towards Sarcasm Generation**Silviu Vlad Oprea, Steven Wilson, Walid Magdy*2022 · 13 citations*](https://md.research.elamur.ai/free/en/papers/oprea-2022-should-chatbot-be-sarcastic-understanding/)
59. [**Speaker-Aware Discourse Parsing on Multi-Party Dialogues**Nan Yu, Guohong Fu, Min Zhang*2022 · 10 citations*](https://md.research.elamur.ai/free/en/papers/yu-2022-speaker-aware-discourse-parsing-multi/)
60. [**Automatic Evaluate Dialogue Appropriateness by Using Dialogue Act**Bao Chen, Yuanjie Wang, Zeming Liu, et al.*2023 · 6 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-automatic-evaluate-dialogue-appropriateness-dialogue/)
61. [**Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging**Semih Yavuz, Kazuma Hashimoto, Wenhao Liu, et al.*2020 · 5 citations*](https://md.research.elamur.ai/free/en/papers/yavuz-2020-simple-data-augmentation-mask-token/)
62. [**COMICORDA: Dialogue Act Recognition in Comic Books**Jiri Martinek, Pavel Kral, Ladislav Lenc, et al.*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/martinek-2024-comicorda-dialogue-act-recognition-comic/)
63. [**Unravelling Indirect Answers to Wh-Questions: Corpus Construction, Analysis, and Generation**Zulipiye Yusupujiang, Jonathan Ginzburg*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/yusupujiang-2023-unravelling-indirect-answers-wh-questions/)
64. [**MUSCAT: MUltilingual, SCientific ConversATion Benchmark**Supriti Sinhamahapatra, Thai-Binh Nguyen, Yiğit Oğuz, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/sinhamahapatra-2026-muscat-multilingual-scientific-conversation-benchmark/)
65. [**Speaker Clustering in Textual Dialogue with Pairwise Utterance Relation and Cross-corpus Dialogue Act Supervision**Zhihua Su, Qiang Zhou*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/su-2022-speaker-clustering-textual-dialogue-pairwise/)
66. [**Faithful Medical Dialogue Generation Using Homo-Heterogeneous Exemplar-based In-Context Knowledge Grounding**Priyanshu Priya, Hardik Goyal, Asif Ekbal*2026*](https://md.research.elamur.ai/free/en/papers/priya-2026-faithful-medical-dialogue-generation-homo/)

605 more citing papers of our library have no page here yet.

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