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Who cites Dawn Drain

2,410 citations of their works from 2,019 papers of our library (of the 140,884 whose bibliographies we read) · 186 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Dawn Drain

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  1. GPT-4 Technical ReportOpenAI, Josh Achiam, Steven Adler, et al.2023 · 12,694 citations
  2. Survey of Hallucination in Natural Language GenerationZiwei Ji, Nayeon Lee, Rita Frieske, et al.2022 · 5,947 citations
  3. DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement LearningDeepSeek-AI, Daya Guo, Dejian Yang, et al.2025 · 4,593 citations
  4. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,221 citations
  5. On the Opportunities and Risks of Foundation ModelsRishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,044 citations
  6. Gemini: A Family of Highly Capable Multimodal ModelsGemini Team, Rohan Anil, Sebastian Borgeaud, et al.2023 · 2,951 citations
  7. A Survey of Large Language ModelsWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,847 citations
  8. Evaluating Large Language Models Trained on CodeMark Chen, Jerry Tworek, Heewoo Jun, et al.2021 · 2,529 citations
  9. Direct Preference Optimization: Your Language Model is Secretly a Reward ModelRafael Rafailov, Archit Sharma, Eric Mitchell, et al.2023 · 2,478 citations
  10. Emergent Abilities of Large Language ModelsJason Wei, Yi Tay, Rishi Bommasani, et al.2022 · 2,215 citations
  11. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,695 citations
  12. Qwen Technical ReportJinze Bai, Shuai Bai, Yunfei Chu, et al.2023 · 1,643 citations
  13. Competition-Level Code Generation with AlphaCodeYujia Li, David Choi, Junyoung Chung, et al.2022 · 1,543 citations
  14. Code Llama: Open Foundation Models for CodeBaptiste Rozière, Jonas Gehring, Fabian Gloeckle, et al.2024 · 1,399 citations
  15. A Comprehensive Overview of Large Language ModelsHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,286 citations
  16. The Rise and Potential of Large Language Model Based Agents: A SurveyZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,262 citations
  17. A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the UglyYifan Yao, Jinhao Duan, Kaidi Xu, et al.2023 · 1,181 citations
  18. Program Synthesis with Large Language ModelsJacob Austin, Augustus Odena, Maxwell Nye, et al.2021 · 1,136 citations
  19. Phi-3 Technical Report: A Highly Capable Language Model Locally on Your PhoneMarah Abdin, Jyoti Aneja, Hany Awadalla, et al.2024 · 1,113 citations
  20. Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve ThemMirac Suzgun, Nathan Scales, Nathanael Schärli, et al.2023 · 1,094 citations
  21. OpenAI o1 System CardOpenAI, Aaron Jaech, Adam Kalai, et al.2024 · 1,065 citations
  22. PaLM 2 Technical ReportRohan Anil, Andrew M. Dai, Orhan Firat, et al.2023 · 971 citations
  23. FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationSewon Min, Kalpesh Krishna, Xinxi Lyu, et al.2023 · 970 citations
  24. GPQA: A Graduate-Level Google-Proof Q&A BenchmarkDavid Rein, Betty Li Hou, Asa Cooper Stickland, et al.2023 · 964 citations
  25. Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language ModelsYue Zhang, Yafu Li, Leyang Cui, et al.2023 · 962 citations
  26. Constitutional AI: Harmlessness from AI FeedbackYuntao Bai, Saurav Kadavath, Sandipan Kundu, et al.2022 · 957 citations
  27. Universal and Transferable Adversarial Attacks on Aligned Language ModelsAndy Zou, Zifan Wang, Nicholas Carlini, et al.2023 · 951 citations
  28. Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondJingfeng Yang, Hongye Jin, Ruixiang Tang, et al.2023 · 806 citations
  29. Explainability for Large Language Models: A SurveyHaiyan Zhao, Hanjie Chen, Fan Yang, et al.2023 · 785 citations
  30. Unified Pre-training for Program Understanding and GenerationWasi Ahmad, Saikat Chakraborty, Baishakhi Ray, et al.2021 · 746 citations
  31. Capabilities of GPT-4 on Medical Challenge ProblemsHarsha Nori, Nicholas King, Scott Mayer McKinney, et al.2023 · 700 citations
  32. CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model SocietyGuohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, et al.2023 · 689 citations
  33. Jailbroken: How Does LLM Safety Training Fail?Alexander Wei, Nika Haghtalab, Jacob Steinhardt2023 · 659 citations
  34. HybridFlow: A Flexible and Efficient RLHF FrameworkGuangming Sheng, Chi Zhang, Zilingfeng Ye, et al.2024 · 598 citations
  35. The Flan Collection: Designing Data and Methods for Effective Instruction TuningShayne Longpre, Le Hou, Tu Vu, et al.2023 · 590 citations
  36. Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought PromptingMiles Turpin, Julian Michael, Ethan Perez, et al.2023 · 568 citations
  37. Galactica: A Large Language Model for ScienceRoss Taylor, Marcin Kardas, Guillem Cucurull, et al.2022 · 558 citations
  38. Jailbreaking Black Box Large Language Models in Twenty QueriesPatrick Chao, Alexander Robey, Edgar Dobriban, et al.2023 · 533 citations
  39. Instruction Tuning for Large Language Models: A SurveyShengyu Zhang, Linfeng Dong, Xiaoya Li, et al.2023 · 515 citations
  40. Baichuan 2: Open Large-scale Language ModelsAiyuan Yang, Bin Xiao, Bingning Wang, et al.2023 · 512 citations
  41. OpenAssistant Conversations — Democratizing Large Language Model AlignmentAndreas Köpf, Yannic Kilcher, Dimitri von Rütte, et al.2023 · 505 citations
  42. Phi-4 Technical ReportMarah Abdin, Jyoti Aneja, Harkirat Behl, et al.2024 · 489 citations
  43. Inference-Time Intervention: Eliciting Truthful Answers from a Language ModelKenneth Li, Oam Patel, Fernanda Viegas, et al.2023 · 473 citations
  44. Large Language Models: A SurveyShervin Minaee, Tomas Mikolov, Narjes Nikzad, et al.2024 · 467 citations
  45. Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons LearnedDeep Ganguli, Liane Lovitt, Jackson Kernion, et al.2022 · 456 citations
  46. The Falcon Series of Open Language ModelsEbtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 436 citations
  47. AlpacaFarm: A Simulation Framework for Methods that Learn from Human FeedbackYann Dubois, Xuechen Li, Rohan Taori, et al.2023 · 423 citations
  48. Security and Privacy Challenges of Large Language Models: A SurveyBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 422 citations
  49. Large Language Models Cannot Self-Correct Reasoning YetJie Huang, Xinyun Chen, Swaroop Mishra, et al.2023 · 396 citations
  50. Whose Opinions Do Language Models Reflect?Shibani Santurkar, Esin Durmus, Faisal Ladhak, et al.2023 · 390 citations
  51. Large Language Models as OptimizersChengrun Yang, Xuezhi Wang, Yifeng Lu, et al.2023 · 388 citations
  52. Representation Engineering: A Top-Down Approach to AI TransparencyAndy Zou, Long Phan, Sarah Chen, et al.2023 · 386 citations
  53. A Survey on Large Language Models for Code GenerationJuyong Jiang, Fan Wang, Jiasi Shen, et al.2024 · 366 citations
  54. Towards Understanding Sycophancy in Language ModelsMrinank Sharma, Meg Tong, Tomasz Korbak, et al.2023 · 354 citations
  55. BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference DatasetJiaming Ji, Mickel Liu, Juntao Dai, et al.2023 · 351 citations
  56. Improving alignment of dialogue agents via targeted human judgementsAmelia Glaese, Nat McAleese, Maja Trębacz, et al.2022 · 346 citations
  57. AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language ModelsXiaogeng Liu, Nan Xu, Muhao Chen, et al.2023 · 333 citations
  58. Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!Xiangyu Qi, Yi Zeng, Tinghao Xie, et al.2023 · 331 citations
  59. Are Emergent Abilities of Large Language Models a Mirage?Rylan Schaeffer, Brando Miranda, Sanmi Koyejo2023 · 323 citations
  60. Text and Code Embeddings by Contrastive Pre-TrainingArvind Neelakantan, Tao Xu, Raul Puri, et al.2022 · 316 citations
  61. CRITIC: Large Language Models Can Self-Correct with Tool-Interactive CritiquingZhibin Gou, Zhihong Shao, Yeyun Gong, et al.2023 · 315 citations
  62. HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust RefusalMantas Mazeika, Long Phan, Xuwang Yin, et al.2024 · 312 citations
  63. Discovering Language Model Behaviors with Model-Written EvaluationsEthan Perez, Sam Ringer, Kamilė Lukošiūtė, et al.2022 · 305 citations
  64. How Far Can Camels Go? Exploring the State of Instruction Tuning on Open ResourcesYizhong Wang, Hamish Ivison, Pradeep Dasigi, et al.2023 · 304 citations
  65. Challenges and Applications of Large Language ModelsJean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 300 citations
  66. Character-LLM: A Trainable Agent for Role-PlayingYunfan Shao, Linyang Li, Junqi Dai, et al.2023 · 300 citations
  67. InternLM2 Technical ReportZheng Cai, Maosong Cao, Haojiong Chen, et al.2024 · 299 citations
  68. CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement LearningHung Le, Yue Wang, Akhilesh Deepak Gotmare, et al.2022 · 290 citations
  69. Can language models learn from explanations in context?Andrew Lampinen, Ishita Dasgupta, Stephanie Chan, et al.2022 · 288 citations
  70. Large Language Models for Mathematical Reasoning: Progresses and ChallengesJanice Ahn, Rishu Verma, Renze Lou, et al.2024 · 279 citations
  71. Larger language models do in-context learning differentlyJerry Wei, Jason Wei, Yi Tay, et al.2023 · 277 citations
  72. Llemma: An Open Language Model For MathematicsZhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, et al.2023 · 275 citations
  73. Scaling Laws for Reward Model OveroptimizationLeo Gao, John Schulman, Jacob Hilton2022 · 266 citations
  74. Towards Measuring the Representation of Subjective Global Opinions in Language ModelsEsin Durmus, Karina Nguyen, Thomas I. Liao, et al.2023 · 262 citations
  75. Measuring Faithfulness in Chain-of-Thought ReasoningTamera Lanham, Anna Chen, Ansh Radhakrishnan, et al.2023 · 249 citations
  76. DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT ModelsBoxin Wang, Weixin Chen, Hengzhi Pei, et al.2023 · 246 citations
  77. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelAhmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 245 citations
  78. Tree of Attacks: Jailbreaking Black-Box LLMs AutomaticallyAnay Mehrotra, Manolis Zampetakis, Paul Kassianik, et al.2023 · 245 citations
  79. Language Models can Solve Computer TasksGeunwoo Kim, Pierre Baldi, Stephen McAleer2023 · 239 citations
  80. RAFT: Reward rAnked FineTuning for Generative Foundation Model AlignmentHanze Dong, Wei Xiong, Deepanshu Goyal, et al.2023 · 239 citations
  81. Humanity's Last ExamLong Phan, Alice Gatti, Ziwen Han, et al.2025 · 235 citations
  82. LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation DatasetLianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al.2023 · 235 citations
  83. BlenderBot 3: a deployed conversational agent that continually learns to responsibly engageKurt Shuster, Jing Xu, Mojtaba Komeili, et al.2022 · 234 citations
  84. Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human SupervisionZhiqing Sun, Yikang Shen, Qinhong Zhou, et al.2023 · 232 citations
  85. XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language ModelsPaul Rottger, Hannah Rose Kirk, Bertie Vidgen, et al.2023 · 227 citations
  86. TrustLLM: Trustworthiness in Large Language ModelsYue Huang, Lichao Sun, Haoran Wang, et al.2024 · 226 citations
  87. Baseline Defenses for Adversarial Attacks Against Aligned Language ModelsNeel Jain, Avi Schwarzschild, Yuxin Wen, et al.2023 · 224 citations
  88. Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language ModelsSeungone Kim, Juyoung Suk, Shayne Longpre, et al.2024 · 220 citations
  89. Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt InjectionKai Greshake, Sahar Abdelnabi, Shailesh Mishra, et al.2023 · 220 citations
  90. Med-HALT: Medical Domain Hallucination Test for Large Language ModelsAnkit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu2023 · 219 citations
  91. Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' AlignmentYang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li2023 · 219 citations
  92. Self-critiquing models for assisting human evaluatorsWilliam Saunders, Catherine Yeh, Jeff Wu, et al.2022 · 219 citations
  93. Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language ModelsNeha Sengupta, Sunil Kumar Sahu, Bokang Jia, et al.2023 · 217 citations
  94. Fine-Grained Human Feedback Gives Better Rewards for Language Model TrainingZeqiu Wu, Yushi Hu, Weijia Shi, et al.2023 · 212 citations
  95. Reinforced Self-Training (ReST) for Language ModelingCaglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan, et al.2023 · 209 citations
  96. Progress measures for grokking via mechanistic interpretabilityNeel Nanda, Lawrence Chan, Tom Lieberum, et al.2023 · 207 citations
  97. Safe RLHF: Safe Reinforcement Learning from Human FeedbackJosef Dai, Xuehai Pan, Ruiyang Sun, et al.2023 · 207 citations
  98. LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language ModelsYen-Ting Lin, Yun-Nung Chen2023 · 206 citations
  99. Prompting GPT-3 To Be ReliableChenglei Si, Zhe Gan, Zhengyuan Yang, et al.2022 · 206 citations
  100. Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2Hamish Ivison, Yizhong Wang, Valentina Pyatkin, et al.2023 · 199 citations

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