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Who cites Tom Henighan

4,429 citations of their works from 3,704 papers of our library (of the 140,884 whose bibliographies we read) · 321 with a page here, the most cited first · page 2 of 4 · 101–200 · ← Tom Henighan

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  1. 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
  2. ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationYu Sun, Shuohuan Wang, Shikun Feng, et al.2021 · 324 citations
  3. Are Emergent Abilities of Large Language Models a Mirage?Rylan Schaeffer, Brando Miranda, Sanmi Koyejo2023 · 323 citations
  4. Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive DecodingSicong Leng, Hang Zhang, Guanzheng Chen, et al.2023 · 317 citations
  5. CRITIC: Large Language Models Can Self-Correct with Tool-Interactive CritiquingZhibin Gou, Zhihong Shao, Yeyun Gong, et al.2023 · 315 citations
  6. Faith and Fate: Limits of Transformers on CompositionalityNouha Dziri, Ximing Lu, Melanie Sclar, et al.2023 · 313 citations
  7. HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust RefusalMantas Mazeika, Long Phan, Xuwang Yin, et al.2024 · 312 citations
  8. MEDITRON-70B: Scaling Medical Pretraining for Large Language ModelsZeming Chen, Alejandro Hernandez Cano, Angelika Romanou, et al.2023 · 307 citations
  9. Discovering Language Model Behaviors with Model-Written EvaluationsEthan Perez, Sam Ringer, Kamilė Lukošiūtė, et al.2022 · 305 citations
  10. How Far Can Camels Go? Exploring the State of Instruction Tuning on Open ResourcesYizhong Wang, Hamish Ivison, Pradeep Dasigi, et al.2023 · 304 citations
  11. Carbon Emissions and Large Neural Network TrainingDavid Patterson, Joseph Gonzalez, Quoc Le, et al.2021 · 304 citations
  12. ZeRO-Offload: Democratizing Billion-Scale Model TrainingJie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi, et al.2021 · 302 citations
  13. Challenges and Applications of Large Language ModelsJean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 300 citations
  14. Character-LLM: A Trainable Agent for Role-PlayingYunfan Shao, Linyang Li, Junqi Dai, et al.2023 · 300 citations
  15. InternLM2 Technical ReportZheng Cai, Maosong Cao, Haojiong Chen, et al.2024 · 299 citations
  16. Prompting Large Language Model for Machine Translation: A Case StudyBiao Zhang, Barry Haddow, Alexandra Birch2023 · 293 citations
  17. On-Policy Distillation of Language Models: Learning from Self-Generated MistakesRishabh Agarwal, Nino Vieillard, Yongchao Zhou, et al.2023 · 288 citations
  18. Can language models learn from explanations in context?Andrew Lampinen, Ishita Dasgupta, Stephanie Chan, et al.2022 · 288 citations
  19. Generate rather than Retrieve: Large Language Models are Strong Context GeneratorsWenhao Yu, Dan Iter, Shuohang Wang, et al.2022 · 280 citations
  20. Large Language Models for Mathematical Reasoning: Progresses and ChallengesJanice Ahn, Rishu Verma, Renze Lou, et al.2024 · 279 citations
  21. Larger language models do in-context learning differentlyJerry Wei, Jason Wei, Yi Tay, et al.2023 · 277 citations
  22. Llemma: An Open Language Model For MathematicsZhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, et al.2023 · 275 citations
  23. Scaling Laws for Reward Model OveroptimizationLeo Gao, John Schulman, Jacob Hilton2022 · 266 citations
  24. Towards Measuring the Representation of Subjective Global Opinions in Language ModelsEsin Durmus, Karina Nguyen, Thomas I. Liao, et al.2023 · 262 citations
  25. The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language VariantsLucas Bandarkar, Davis Liang, Benjamin Muller, et al.2023 · 259 citations
  26. MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training StrategiesShengding Hu, Yuge Tu, Xu Han, et al.2024 · 258 citations
  27. LexGLUE: A Benchmark Dataset for Legal Language Understanding in EnglishIlias Chalkidis; Abhik Jana; Dirk Hartung; Michael Bommarito; Ion Androutsopoulos; Daniel Martin Katz;, Nikolaos Aletras2021 · 256 citations
  28. DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI ScaleSamyam Rajbhandari, Conglong Li, Zhewei Yao, et al.2022 · 254 citations
  29. Scaling Relationship on Learning Mathematical Reasoning with Large Language ModelsZheng Yuan, Hongyi Yuan, Chengpeng Li, et al.2023 · 252 citations
  30. Personality Traits in Large Language ModelsGreg Serapio-Garcia, Mustafa Safdari, Clement Crepy, et al.2023 · 251 citations
  31. Measuring Faithfulness in Chain-of-Thought ReasoningTamera Lanham, Anna Chen, Ansh Radhakrishnan, et al.2023 · 249 citations
  32. DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT ModelsBoxin Wang, Weixin Chen, Hengzhi Pei, et al.2023 · 246 citations
  33. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelAhmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 245 citations
  34. NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each BenchmarkOscar Sainz, Jon Campos, Iker García-Ferrero, et al.2023 · 245 citations
  35. Tree of Attacks: Jailbreaking Black-Box LLMs AutomaticallyAnay Mehrotra, Manolis Zampetakis, Paul Kassianik, et al.2023 · 245 citations
  36. Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and ToxicityTerry Yue Zhuo, Yujin Huang, Chunyang Chen, et al.2023 · 243 citations
  37. Large Language Monkeys: Scaling Inference Compute with Repeated SamplingBradley Brown, Jordan Juravsky, Ryan Ehrlich, et al.2024 · 241 citations
  38. Language Models can Solve Computer TasksGeunwoo Kim, Pierre Baldi, Stephen McAleer2023 · 239 citations
  39. RAFT: Reward rAnked FineTuning for Generative Foundation Model AlignmentHanze Dong, Wei Xiong, Deepanshu Goyal, et al.2023 · 239 citations
  40. Perceiver: General Perception with Iterative AttentionAndrew Jaegle, Felix Gimeno, Andrew Brock, et al.2021 · 238 citations
  41. Humanity's Last ExamLong Phan, Alice Gatti, Ziwen Han, et al.2025 · 235 citations
  42. LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation DatasetLianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al.2023 · 235 citations
  43. BlenderBot 3: a deployed conversational agent that continually learns to responsibly engageKurt Shuster, Jing Xu, Mojtaba Komeili, et al.2022 · 234 citations
  44. Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human SupervisionZhiqing Sun, Yikang Shen, Qinhong Zhou, et al.2023 · 232 citations
  45. XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language ModelsPaul Rottger, Hannah Rose Kirk, Bertie Vidgen, et al.2023 · 227 citations
  46. TrustLLM: Trustworthiness in Large Language ModelsYue Huang, Lichao Sun, Haoran Wang, et al.2024 · 226 citations
  47. Baseline Defenses for Adversarial Attacks Against Aligned Language ModelsNeel Jain, Avi Schwarzschild, Yuxin Wen, et al.2023 · 224 citations
  48. Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought PromptingHaoyang Huang, Tianyi Tang, Dongdong Zhang, et al.2023 · 223 citations
  49. Specializing Smaller Language Models towards Multi-Step ReasoningYao Fu, Hao Peng, Litu Ou, et al.2023 · 222 citations
  50. Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language ModelsSeungone Kim, Juyoung Suk, Shayne Longpre, et al.2024 · 220 citations
  51. 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
  52. Beyond neural scaling laws: beating power law scaling via data pruningBen Sorscher, Robert Geirhos, Shashank Shekhar, et al.2022 · 220 citations
  53. Transformer Memory as a Differentiable Search IndexYi Tay, Vinh Q. Tran, Mostafa Dehghani, et al.2022 · 220 citations
  54. Med-HALT: Medical Domain Hallucination Test for Large Language ModelsAnkit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu2023 · 219 citations
  55. 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
  56. Self-critiquing models for assisting human evaluatorsWilliam Saunders, Catherine Yeh, Jeff Wu, et al.2022 · 219 citations
  57. 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
  58. Fine-Grained Human Feedback Gives Better Rewards for Language Model TrainingZeqiu Wu, Yushi Hu, Weijia Shi, et al.2023 · 212 citations
  59. Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free LunchLe Yu, Bowen Yu, Haiyang Yu, et al.2023 · 209 citations
  60. Reinforced Self-Training (ReST) for Language ModelingCaglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan, et al.2023 · 209 citations
  61. Progress measures for grokking via mechanistic interpretabilityNeel Nanda, Lawrence Chan, Tom Lieberum, et al.2023 · 207 citations
  62. Safe RLHF: Safe Reinforcement Learning from Human FeedbackJosef Dai, Xuehai Pan, Ruiyang Sun, et al.2023 · 207 citations
  63. LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language ModelsYen-Ting Lin, Yun-Nung Chen2023 · 206 citations
  64. Prompting GPT-3 To Be ReliableChenglei Si, Zhe Gan, Zhengyuan Yang, et al.2022 · 206 citations
  65. Search-o1: Agentic Search-Enhanced Large Reasoning ModelsXiaoxi Li, Guanting Dong, Jiajie Jin, et al.2025 · 205 citations
  66. LIMO: Less is More for ReasoningYixin Ye, Zhen Huang, Yang Xiao, et al.2025 · 204 citations
  67. TinyStories: How Small Can Language Models Be and Still Speak Coherent English?Ronen Eldan, Yuanzhi Li2023 · 202 citations
  68. Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2Hamish Ivison, Yizhong Wang, Valentina Pyatkin, et al.2023 · 199 citations
  69. ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree SearchDan Zhang, Sining Zhoubian, Ziniu Hu, et al.2024 · 197 citations
  70. Scalable Extraction of Training Data from (Production) Language ModelsMilad Nasr, Nicholas Carlini, Jonathan Hayase, et al.2023 · 197 citations
  71. COCO-LM: Correcting and Contrasting Text Sequences for Language Model PretrainingYu Meng, Chenyan Xiong, Payal Bajaj, et al.2021 · 196 citations
  72. RRHF: Rank Responses to Align Language Models with Human Feedback without tearsZheng Yuan, Hongyi Yuan, Chuanqi Tan, et al.2023 · 194 citations
  73. Merging Models with Fisher-Weighted AveragingMichael Matena, Colin Raffel2021 · 190 citations
  74. Refusal in Language Models Is Mediated by a Single DirectionAndy Arditi, Oscar Obeso, Aaquib Syed, et al.2024 · 188 citations
  75. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesSander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 187 citations
  76. LawBench: Benchmarking Legal Knowledge of Large Language ModelsZhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.2023 · 184 citations
  77. Multilingual Jailbreak Challenges in Large Language ModelsYue Deng, Wenxuan Zhang, Sinno Jialin Pan, et al.2023 · 183 citations
  78. OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text DocumentsHugo Laurençon, Lucile Saulnier, Leo Tronchon, et al.2023 · 183 citations
  79. Preference Ranking Optimization for Human AlignmentFeifan Song, Bowen Yu, Minghao Li, et al.2023 · 183 citations
  80. Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language ModelsKushal Tirumala, Aram H. Markosyan, Luke Zettlemoyer, et al.2022 · 183 citations
  81. Pre-training via ParaphrasingMike Lewis, Marjan Ghazvininejad, Gargi Ghosh, et al.2020 · 181 citations
  82. On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot ReasoningOmar Shaikh, Hongxin Zhang, William Held, et al.2023 · 180 citations
  83. Knowledge Conflicts for LLMs: A SurveyRongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 179 citations
  84. CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 LanguagesThuat Nguyen, Chien Van Nguyen, Viet Dac Lai, et al.2023 · 179 citations
  85. Eliciting Latent Predictions from Transformers with the Tuned LensNora Belrose, Igor Ostrovsky, Lev McKinney, et al.2023 · 179 citations
  86. Effective Long-Context Scaling of Foundation ModelsWenhan Xiong, Jingyu Liu, Igor Molybog, et al.2023 · 177 citations
  87. Evaluating Large Language Models: A Comprehensive SurveyZishan Guo, Renren Jin, Chuang Liu, et al.2023 · 177 citations
  88. ToolQA: A Dataset for LLM Question Answering with External ToolsYuchen Zhuang, Yue Yu, Kuan Wang, et al.2023 · 177 citations
  89. 8-bit Optimizers via Block-wise QuantizationTim Dettmers, Mike Lewis, Sam Shleifer, et al.2021 · 177 citations
  90. OpenChat: Advancing Open-source Language Models with Mixed-Quality DataGuan Wang, Sijie Cheng, Xianyuan Zhan, et al.2023 · 171 citations
  91. Aligning Large Multimodal Models with Factually Augmented RLHFZhiqing Sun, Sheng Shen, Shengcao Cao, et al.2023 · 168 citations
  92. Low-Resource Languages Jailbreak GPT-4Zheng-Xin Yong, Cristina Menghini, Stephen H. Bach2023 · 168 citations
  93. ShortGPT: Layers in Large Language Models are More Redundant Than You ExpectXin Men, Mingyu Xu, Qingyu Zhang, et al.2024 · 167 citations
  94. Deduplicating Training Data Mitigates Privacy Risks in Language ModelsNikhil Kandpal, Eric Wallace, Colin Raffel2022 · 166 citations
  95. Large Language Diffusion ModelsShen Nie, Fengqi Zhu, Zebin You, et al.2025 · 164 citations
  96. BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex InstructionsTerry Yue Zhuo, Minh Chien Vu, Jenny Chim, et al.2024 · 163 citations
  97. Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak SupervisionCollin Burns, Pavel Izmailov, Jan Hendrik Kirchner, et al.2023 · 163 citations
  98. Catastrophic Jailbreak of Open-source LLMs via Exploiting GenerationYangsibo Huang, Samyak Gupta, Mengzhou Xia, et al.2023 · 162 citations
  99. GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak PromptsJiahao Yu, Xingwei Lin, Zheng Yu, et al.2023 · 162 citations
  100. Scaling Synthetic Data Creation with 1,000,000,000 PersonasTao Ge, Xin Chan, Xiaoyang Wang, et al.2024 · 160 citations

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