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Who cites Prafulla Dhariwal

13,378 citations of their works from 12,963 papers of our library (of the 140,884 whose bibliographies we read) · 891 with a page here, the most cited first · page 6 of 9 · 501–600 · ← Prafulla Dhariwal

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  1. Generative Representational Instruction TuningNiklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 165 citations
  2. Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge ConflictsJian Xie, Kai Zhang, Jiangjie Chen, et al.2023 · 165 citations
  3. Binding Language Models in Symbolic LanguagesZhoujun Cheng, Tianbao Xie, Peng Shi, et al.2022 · 165 citations
  4. On Generative Spoken Language Modeling from Raw AudioKushal Lakhotia, Eugene Kharitonov, Wei-Ning Hsu, et al.2021 · 165 citations
  5. Sustainable Modular Debiasing of Language ModelsAnne Lauscher, Tobias Lueken, Goran Glavaš2021 · 165 citations
  6. Large Language Diffusion ModelsShen Nie, Fengqi Zhu, Zebin You, et al.2025 · 164 citations
  7. Do All Languages Cost the Same? Tokenization in the Era of Commercial Language ModelsOrevaoghene Ahia, Sachin Kumar, Hila Gonen, et al.2023 · 164 citations
  8. PromptSource: An Integrated Development Environment and Repository for Natural Language PromptsStephen H. Bach, Victor Sanh, Zheng-Xin Yong, et al.2022 · 164 citations
  9. Quark: Controllable Text Generation with Reinforced UnlearningXiming Lu, Sean Welleck, Jack Hessel, et al.2022 · 164 citations
  10. BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex InstructionsTerry Yue Zhuo, Minh Chien Vu, Jenny Chim, et al.2024 · 163 citations
  11. Promptbreeder: Self-Referential Self-Improvement Via Prompt EvolutionChrisantha Fernando, Dylan Banarse, Henryk Michalewski, et al.2023 · 163 citations
  12. Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak SupervisionCollin Burns, Pavel Izmailov, Jan Hendrik Kirchner, et al.2023 · 163 citations
  13. Long-form factuality in large language modelsJerry Wei, Chengrun Yang, Xinying Song, et al.2024 · 162 citations
  14. Catastrophic Jailbreak of Open-source LLMs via Exploiting GenerationYangsibo Huang, Samyak Gupta, Mengzhou Xia, et al.2023 · 162 citations
  15. GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak PromptsJiahao Yu, Xingwei Lin, Zheng Yu, et al.2023 · 162 citations
  16. LooGLE: Can Long-Context Language Models Understand Long Contexts?Jiaqi Li, Mengmeng Wang, Zilong Zheng, et al.2023 · 162 citations
  17. Impact of Pretraining Term Frequencies on Few-Shot Numerical ReasoningYasaman Razeghi, Robert L Logan IV, Matt Gardner, et al.2022 · 162 citations
  18. SCROLLS: Standardized CompaRison Over Long Language SequencesUri Shaham, Elad Segal, Maor Ivgi, et al.2022 · 162 citations
  19. Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task AgentsZihao Wang, Shaofei Cai, Guanzhou Chen, et al.2023 · 161 citations
  20. ChatGPT as a Factual Inconsistency Evaluator for Text SummarizationZheheng Luo, Qianqian Xie, Sophia Ananiadou2023 · 160 citations
  21. Reasoning with Language Model Prompting: A SurveyShuofei Qiao, Yixin Ou, Ningyu Zhang, et al.2022 · 160 citations
  22. Larger-Scale Transformers for Multilingual Masked Language ModelingNaman Goyal, Jingfei Du, Myle Ott, et al.2021 · 160 citations
  23. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyWeiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 159 citations
  24. PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel ComputationWei Zeng, Xiaozhe Ren, Teng Su, et al.2021 · 159 citations
  25. AgentTuning: Enabling Generalized Agent Abilities for LLMsAohan Zeng, Mingdao Liu, Rui Lu, et al.2023 · 158 citations
  26. GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation ModelsAohan Zeng, Xin Lv, Qinkai Zheng, et al.2025 · 157 citations
  27. From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction TuningMing Li, Yong Zhang, Zhitao Li, et al.2023 · 157 citations
  28. DataComp-LM: In search of the next generation of training sets for language modelsJeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 156 citations
  29. VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web TasksJing Yu Koh, Robert Lo, Lawrence Jang, et al.2024 · 156 citations
  30. Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors PersistMarzena Karpinska, Mohit Iyyer2023 · 156 citations
  31. The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation EvaluationPatrick Fernandes, Daniel Deutsch, Mara Finkelstein, et al.2023 · 156 citations
  32. Canine: Pre-training an Efficient Tokenization-Free Encoder for Language RepresentationJonathan H. Clark, Dan Garrette, Iulia Turc, et al.2022 · 156 citations
  33. The Lessons of Developing Process Reward Models in Mathematical ReasoningZhenru Zhang, Chujie Zheng, Yangzhen Wu, et al.2025 · 155 citations
  34. HunyuanVideo: A Systematic Framework For Large Video Generative ModelsWeijie Kong, Qi Tian, Zijian Zhang, et al.2024 · 155 citations
  35. Moshi: a speech-text foundation model for real-time dialogueAlexandre Defossez, Laurent Mazare, Manu Orsini, et al.2024 · 154 citations
  36. Large Language Models with Controllable Working MemoryDaliang Li, Ankit Singh Rawat, Manzil Zaheer, et al.2023 · 154 citations
  37. TheoremQA: A Theorem-driven Question Answering DatasetWenhu Chen, Ming Yin, Max Ku, et al.2023 · 154 citations
  38. Leveraging Large Language Models for Multiple Choice Question AnsweringJoshua Robinson, Christopher Michael Rytting, David Wingate2022 · 154 citations
  39. Towards a Cleaner Document-Oriented Multilingual Crawled CorpusJulien Abadji, Pedro Ortiz Suarez, Laurent Romary, et al.2022 · 154 citations
  40. Can GPT-3 Perform Statutory Reasoning?Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme2023 · 153 citations
  41. Label Words are Anchors: An Information Flow Perspective for Understanding In-Context LearningLean Wang, Lei Li, Damai Dai, et al.2023 · 153 citations
  42. Locally Typical SamplingClara Meister, Tiago Pimentel, Gian Wiher, et al.2023 · 152 citations
  43. REFINER: Reasoning Feedback on Intermediate RepresentationsDebjit Paul, Mete Ismayilzada, Maxime Peyrard, et al.2023 · 152 citations
  44. ChatGPT MT: Competitive for High- (but Not Low-) Resource LanguagesNathaniel Robinson, Perez Ogayo, David R. Mortensen, et al.2023 · 151 citations
  45. The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language ModelsJunyi Li, Jie Chen, Ruiyang Ren, et al.2024 · 150 citations
  46. AnnoLLM: Making Large Language Models to Be Better Crowdsourced AnnotatorsXingwei He, Zhenghao Lin, Yeyun Gong, et al.2023 · 150 citations
  47. Generation-Augmented Retrieval for Open-domain Question AnsweringYuning Mao, Pengcheng He, Xiaodong Liu, et al.2020 · 150 citations
  48. ProsocialDialog: A Prosocial Backbone for Conversational AgentsHyunwoo Kim, Youngjae Yu, Liwei Jiang, et al.2022 · 149 citations
  49. ROSCOE: A Suite of Metrics for Scoring Step-by-Step ReasoningOlga Golovneva, Moya Chen, Spencer Poff, et al.2022 · 149 citations
  50. SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the WildWeihao Zeng, Yuzhen Huang, Qian Liu, et al.2025 · 148 citations
  51. SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language ModelsXiaoxuan Wang, Ziniu Hu, Pan Lu, et al.2023 · 148 citations
  52. Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative DecodingJun Zhang, Jue Wang, Huan Li, et al.2024 · 146 citations
  53. Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability CurvatureGuangsheng Bao, Yanbin Zhao, Zhiyang Teng, et al.2023 · 146 citations
  54. Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAsMicrosoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al.2025 · 145 citations
  55. How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data CompositionGuanting Dong, Hongyi Yuan, Keming Lu, et al.2024 · 145 citations
  56. Context-faithful Prompting for Large Language ModelsWenxuan Zhou, Sheng Zhang, Hoifung Poon, et al.2023 · 145 citations
  57. Fact-Checking Complex Claims with Program-Guided ReasoningLiangming Pan, Xiaobao Wu, Xinyuan Lu, et al.2023 · 145 citations
  58. Self-Evaluation Guided Beam Search for ReasoningYuxi Xie, Kenji Kawaguchi, Yiran Zhao, et al.2023 · 145 citations
  59. The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual DatasetHugo Laurençon, Lucile Saulnier, Thomas Wang, et al.2023 · 145 citations
  60. Unified Demonstration Retriever for In-Context LearningXiaonan Li, Kai Lv, Hang Yan, et al.2023 · 144 citations
  61. Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought FrameworkRuochen Zhao, Xingxuan Li, Shafiq Joty, et al.2023 · 144 citations
  62. In-Context Learning for Few-Shot Dialogue State TrackingYushi Hu, Chia-Hsuan Lee, Tianbao Xie, et al.2022 · 144 citations
  63. Is GPT-3 a Good Data Annotator?Bosheng Ding, Chengwei Qin, Linlin Liu, et al.2022 · 144 citations
  64. MiniLLM: On-Policy Distillation of Large Language ModelsYuxian Gu, Li Dong, Furu Wei, et al.2023 · 143 citations
  65. In-Context Learning Creates Task VectorsRoee Hendel, Mor Geva, Amir Globerson2023 · 142 citations
  66. ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool EmbeddingsShibo Hao, Tianyang Liu, Zhen Wang, et al.2023 · 142 citations
  67. TALM: Tool Augmented Language ModelsAaron Parisi, Yao Zhao, Noah Fiedel2022 · 142 citations
  68. Rethinking embedding coupling in pre-trained language modelsHyung Won Chung, Thibault Févry, Henry Tsai, et al.2020 · 142 citations
  69. JudgeLM: Fine-tuned Large Language Models are Scalable JudgesLianghui Zhu, Xinggang Wang, Xinlong Wang2023 · 141 citations
  70. ProofNet: Autoformalizing and Formally Proving Undergraduate-Level MathematicsZhangir Azerbayev, Bartosz Piotrowski, Hailey Schoelkopf, et al.2023 · 141 citations
  71. How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language modelMichael Hanna, Ollie Liu, Alexandre Variengien2023 · 140 citations
  72. A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text GenerationTianyu Liu, Yizhe Zhang, Chris Brockett, et al.2022 · 140 citations
  73. A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence GenerationNeeraj Varshney; Wenlin Yao; Hongming Zhang; Jianshu Chen;, Dong Yu2023 · 139 citations
  74. Diverse Demonstrations Improve In-context Compositional GeneralizationItay Levy, Ben Bogin, Jonathan Berant2023 · 139 citations
  75. Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-CollaborationZhenhailong Wang, Shaoguang Mao, Wenshan Wu, et al.2023 · 139 citations
  76. Exploring Length Generalization in Large Language ModelsCem Anil, Yuhuai Wu, Anders Andreassen, et al.2022 · 138 citations
  77. Investigating Data Contamination in Modern Benchmarks for Large Language ModelsChunyuan Deng, Yilun Zhao, Xiangru Tang, et al.2024 · 137 citations
  78. Efficient Training of Language Models to Fill in the MiddleMohammad Bavarian, Heewoo Jun, Nikolas Tezak, et al.2022 · 137 citations
  79. Agent Laboratory: Using LLM Agents as Research AssistantsSamuel Schmidgall, Yusheng Su, Ze Wang, et al.2025 · 136 citations
  80. Attributed Question Answering: Evaluation and Modeling for Attributed Large Language ModelsBernd Bohnet, Vinh Q. Tran, Pat Verga, et al.2022 · 136 citations
  81. NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead HeuristicsXiming Lu, Sean Welleck, Peter West, et al.2022 · 136 citations
  82. A Roadmap to Pluralistic AlignmentTaylor Sorensen, Jared Moore, Jillian Fisher, et al.2024 · 135 citations
  83. Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language ModelsQingyu Lu, Baopu Qiu, Liang Ding, et al.2024 · 135 citations
  84. RAFT: Adapting Language Model to Domain Specific RAGTianjun Zhang, Shishir G. Patil, Naman Jain, et al.2024 · 135 citations
  85. SLiC-HF: Sequence Likelihood Calibration with Human FeedbackYao Zhao, Rishabh Joshi, Tianqi Liu, et al.2023 · 135 citations
  86. Many-Shot In-Context LearningRishabh Agarwal, Avi Singh, Lei M. Zhang, et al.2024 · 134 citations
  87. Few-Shot Self-Rationalization with Natural Language PromptsAna Marasovic, Iz Beltagy, Doug Downey, et al.2022 · 134 citations
  88. InFoBench: Evaluating Instruction Following Ability in Large Language ModelsYiwei Qin, Kaiqiang Song, Yebowen Hu, et al.2024 · 133 citations
  89. Prompting is not a substitute for probability measurements in large language modelsJennifer Hu, Roger Levy2023 · 133 citations
  90. Formal Mathematics Statement Curriculum LearningStanislas Polu, Jesse Michael Han, Kunhao Zheng, et al.2022 · 132 citations
  91. Understanding the Effects of RLHF on LLM Generalisation and DiversityRobert Kirk, Ishita Mediratta, Christoforos Nalmpantis, et al.2023 · 131 citations
  92. Extracting Latent Steering Vectors from Pretrained Language ModelsNishant Subramani, Nivedita Suresh, Matthew Peters2022 · 131 citations
  93. FLUTE: Figurative Language Understanding through Textual ExplanationsTuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, et al.2022 · 131 citations
  94. FreshLLMs: Refreshing Large Language Models with Search Engine AugmentationTu Vu, Mohit Iyyer, Xuezhi Wang, et al.2023 · 130 citations
  95. MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning ProblemsJakub Macina, Nico Daheim, Sankalan Chowdhury, et al.2023 · 130 citations
  96. Secrets of RLHF in Large Language Models Part I: PPORui Zheng, Shihan Dou, Songyang Gao, et al.2023 · 130 citations
  97. Improving Language Model Negotiation with Self-Play and In-Context Learning from AI FeedbackYao Fu, Hao Peng, Tushar Khot, et al.2023 · 129 citations
  98. Retrieval meets Long Context Large Language ModelsPeng Xu, Wei Ping, Xianchao Wu, et al.2023 · 129 citations
  99. Deductive Verification of Chain-of-Thought ReasoningZhan Ling, Yunhao Fang, Xuanlin Li, et al.2023 · 128 citations
  100. Sequence Parallelism: Long Sequence Training from System PerspectiveShenggui Li, Fuzhao Xue, Chaitanya Baranwal, et al.2023 · 128 citations

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