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Who cites William Fedus

4,883 citations of their works from 4,320 papers of our library (of the 140,884 whose bibliographies we read) · 352 with a page here, the most cited first · page 2 of 4 · 101–200 · ← William Fedus

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  1. LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language ModelsNeel Guha; Julian Nyarko; Daniel E. Ho; Christopher Re; Adam Chilton; Aditya Narayana; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; Enam Hoque; Faiz Surani; Frank Fagan; Galit Sarfaty; Gregory M. Dickinson; Haggai Porat; Jason Hegland; Jessica Wu; Joe Nudell; Joel Niklaus; John Nay; Jonathan H. Choi; Kevin Tobia; Margaret Hagan; Megan Ma; Michael Livermore; Nikon Rasumov-Rahe; Nils Holzenberger; Noam Kolt; Peter Henderson; Sean Rehaag; Sharad Goel; Shang Gao; Spencer Williams; Sunny Gandhi; Tom Zur; Varun Iyer;, Zehua Li2023 · 379 citations
  2. Mind2Web: Towards a Generalist Agent for the WebXiang Deng, Yu Gu, Boyuan Zheng, et al.2023 · 376 citations
  3. Tool Learning with Foundation ModelsYujia Qin, Shengding Hu, Yankai Lin, et al.2023 · 376 citations
  4. ChatDev: Communicative Agents for Software DevelopmentChen Qian, Wei Liu, Hongzhang Liu, et al.2023 · 373 citations
  5. Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical ReasoningLiangming Pan, Alon Albalak, Xinyi Wang, et al.2023 · 370 citations
  6. VILA: On Pre-training for Visual Language ModelsJi Lin, Hongxu Yin, Wei Ping, et al.2023 · 367 citations
  7. A Survey on Large Language Models for Code GenerationJuyong Jiang, Fan Wang, Jiasi Shen, et al.2024 · 366 citations
  8. Augmented Language Models: a SurveyGrégoire Mialon, Roberto Dessì, Maria Lomeli, et al.2023 · 362 citations
  9. Orca: Progressive Learning from Complex Explanation Traces of GPT-4Subhabrata Mukherjee, Arindam Mitra, Ganesh Jawahar, et al.2023 · 357 citations
  10. Unnatural Instructions: Tuning Language Models with (Almost) No Human LaborOr Honovich, Thomas Scialom, Omer Levy, et al.2023 · 356 citations
  11. BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference DatasetJiaming Ji, Mickel Liu, Juntao Dai, et al.2023 · 351 citations
  12. VideoChat: Chat-Centric Video UnderstandingKunChang Li, Yinan He, Yi Wang, et al.2023 · 351 citations
  13. TinyLlama: An Open-Source Small Language ModelPeiyuan Zhang, Guangtao Zeng, Tianduo Wang, et al.2024 · 350 citations
  14. Complexity-Based Prompting for Multi-Step ReasoningYao Fu, Hao Peng, Ashish Sabharwal, et al.2022 · 343 citations
  15. Teaching Small Language Models to ReasonLucie Charlotte Magister, Jonathan Mallinson, Jakub Adamek, et al.2023 · 340 citations
  16. Large Language Models for Information Retrieval: A SurveyYutao Zhu; Huaying Yuan; Shuting Wang; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Haonan Chen; Zheng Liu; Zhicheng Dou;, Ji-Rong Wen2023 · 335 citations
  17. UL2: Unifying Language Learning ParadigmsYi Tay, Mostafa Dehghani, Vinh Q. Tran, et al.2022 · 334 citations
  18. DeepSeek-V3.2: Pushing the Frontier of Open Large Language ModelsDeepSeek-AI, Aixin Liu, Aoxue Mei, et al.2025 · 333 citations
  19. Kimi K2: Open Agentic IntelligenceKimi Team, Yifan Bai, Yiping Bao, et al.2025 · 331 citations
  20. MM-Vet: Evaluating Large Multimodal Models for Integrated CapabilitiesWeihao Yu, Zhengyuan Yang, Linjie Li, et al.2023 · 328 citations
  21. Are Emergent Abilities of Large Language Models a Mirage?Rylan Schaeffer, Brando Miranda, Sanmi Koyejo2023 · 323 citations
  22. LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init AttentionRenrui Zhang, Jiaming Han, Chris Liu, et al.2023 · 322 citations
  23. LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative FusionDongfu Jiang, Xiang Ren, Bill Yuchen Lin2023 · 314 citations
  24. Faith and Fate: Limits of Transformers on CompositionalityNouha Dziri, Ximing Lu, Melanie Sclar, et al.2023 · 313 citations
  25. WANLI: Worker and AI Collaboration for Natural Language Inference Dataset CreationAlisa Liu, Swabha Swayamdipta, Noah A. Smith, et al.2022 · 312 citations
  26. Chameleon: Plug-and-Play Compositional Reasoning with Large Language ModelsPan Lu, Baolin Peng, Hao Cheng, et al.2023 · 311 citations
  27. Hallucination is Inevitable: An Innate Limitation of Large Language ModelsZiwei Xu, Sanjay Jain, Mohan Kankanhalli2024 · 309 citations
  28. Discovering Language Model Behaviors with Model-Written EvaluationsEthan Perez, Sam Ringer, Kamilė Lukošiūtė, et al.2022 · 305 citations
  29. How Far Can Camels Go? Exploring the State of Instruction Tuning on Open ResourcesYizhong Wang, Hamish Ivison, Pradeep Dasigi, et al.2023 · 304 citations
  30. Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement LearningBowen Jin, Hansi Zeng, Zhenrui Yue, et al.2025 · 303 citations
  31. The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)Zhengyuan Yang, Linjie Li, Kevin Lin, et al.2023 · 303 citations
  32. Large Language Models are Better Reasoners with Self-VerificationYixuan Weng, Minjun Zhu, Fei Xia, et al.2023 · 302 citations
  33. PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial PromptsKaijie Zhu, Jindong Wang, Jiaheng Zhou, et al.2023 · 301 citations
  34. Challenges and Applications of Large Language ModelsJean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 300 citations
  35. Multi-step Jailbreaking Privacy Attacks on ChatGPTHaoran Li, Dadi Guo, Wei Fan, et al.2023 · 298 citations
  36. Large Language Models are Effective Text Rankers with Pairwise Ranking PromptingZhen Qin, Rolf Jagerman, Kai Hui, et al.2024 · 296 citations
  37. Multimodal Chain-of-Thought Reasoning in Language ModelsZhuosheng Zhang, Aston Zhang, Mu Li, et al.2023 · 296 citations
  38. Prompting Large Language Model for Machine Translation: A Case StudyBiao Zhang, Barry Haddow, Alexandra Birch2023 · 293 citations
  39. MAmmoTH: Building Math Generalist Models through Hybrid Instruction TuningXiang Yue, Xingwei Qu, Ge Zhang, et al.2023 · 288 citations
  40. On-Policy Distillation of Language Models: Learning from Self-Generated MistakesRishabh Agarwal, Nino Vieillard, Yongchao Zhou, et al.2023 · 288 citations
  41. MEGA: Multilingual Evaluation of Generative AIKabir Ahuja, Harshita Diddee, Rishav Hada, et al.2023 · 281 citations
  42. Generate rather than Retrieve: Large Language Models are Strong Context GeneratorsWenhao Yu, Dan Iter, Shuohang Wang, et al.2022 · 280 citations
  43. Larger language models do in-context learning differentlyJerry Wei, Jason Wei, Yi Tay, et al.2023 · 277 citations
  44. Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingZhe Chen, Weiyun Wang, Yue Cao, et al.2024 · 276 citations
  45. Hallucination-Free? Assessing the Reliability of Leading AI Legal Research ToolsVarun Magesh, Faiz Surani, Matthew Dahl, et al.2024 · 267 citations
  46. Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What MattersBoshi Wang, Sewon Min, Xiang Deng, et al.2023 · 267 citations
  47. Towards Measuring the Representation of Subjective Global Opinions in Language ModelsEsin Durmus, Karina Nguyen, Thomas I. Liao, et al.2023 · 262 citations
  48. DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language ModelsYung-Sung Chuang, Yujia Xie, Hongyin Luo, et al.2023 · 261 citations
  49. Large Language Models Sensitivity to The Order of Options in Multiple-Choice QuestionsPouya Pezeshkpour, Estevam Hruschka2023 · 256 citations
  50. Scaling Relationship on Learning Mathematical Reasoning with Large Language ModelsZheng Yuan, Hongyi Yuan, Chengpeng Li, et al.2023 · 252 citations
  51. Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-OptimizersDamai Dai, Yutao Sun, Li Dong, et al.2023 · 252 citations
  52. Personality Traits in Large Language ModelsGreg Serapio-Garcia, Mustafa Safdari, Clement Crepy, et al.2023 · 251 citations
  53. SEED-Bench: Benchmarking Multimodal LLMs with Generative ComprehensionBohao Li, Rui Wang, Guangzhi Wang, et al.2023 · 247 citations
  54. A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language ModelsS.M Towhidul Islam Tonmoy, S M Mehedi Zaman, Vinija Jain, et al.2024 · 246 citations
  55. DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT ModelsBoxin Wang, Weixin Chen, Hengzhi Pei, et al.2023 · 246 citations
  56. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelAhmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 245 citations
  57. 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
  58. Factuality Challenges in the Era of Large Language ModelsIsabelle Augenstein, Timothy Baldwin, Meeyoung Cha, et al.2023 · 241 citations
  59. Trusting Your Evidence: Hallucinate Less with Context-aware DecodingWeijia Shi, Xiaochuang Han, Mike Lewis, et al.2024 · 240 citations
  60. LaMP: When Large Language Models Meet PersonalizationAlireza Salemi, Sheshera Mysore, Michael Bendersky, et al.2024 · 239 citations
  61. RAFT: Reward rAnked FineTuning for Generative Foundation Model AlignmentHanze Dong, Wei Xiong, Deepanshu Goyal, et al.2023 · 239 citations
  62. OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of GeneralizationSrinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, et al.2022 · 237 citations
  63. On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A SurveyLin Long, Rui Wang, Ruixuan Xiao, et al.2024 · 236 citations
  64. Humanity's Last ExamLong Phan, Alice Gatti, Ziwen Han, et al.2025 · 235 citations
  65. Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human SupervisionZhiqing Sun, Yikang Shen, Qinhong Zhou, et al.2023 · 232 citations
  66. ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot LearningPetter Tornberg2023 · 230 citations
  67. TrustLLM: Trustworthiness in Large Language ModelsYue Huang, Lichao Sun, Haoran Wang, et al.2024 · 226 citations
  68. 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
  69. Specializing Smaller Language Models towards Multi-Step ReasoningYao Fu, Hao Peng, Litu Ou, et al.2023 · 222 citations
  70. 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
  71. 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
  72. FOLIO: Natural Language Reasoning with First-Order LogicSimeng Han, Hailey Schoelkopf, Yilun Zhao, et al.2022 · 217 citations
  73. Distilling Reasoning Capabilities into Smaller Language ModelsKumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan2023 · 216 citations
  74. AlpaGasus: Training A Better Alpaca with Fewer DataLichang Chen, Shiyang Li, Jun Yan, et al.2023 · 214 citations
  75. Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language ModelsMosh Levy, Alon Jacoby, Yoav Goldberg2024 · 212 citations
  76. GAIA: a benchmark for General AI AssistantsGregoire Mialon, Clementine Fourrier, Craig Swift, et al.2023 · 211 citations
  77. AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent BehaviorsWeize Chen, Yusheng Su, Jingwei Zuo, et al.2023 · 210 citations
  78. Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!Yubo Ma, Yixin Cao, Yong Hong, et al.2023 · 210 citations
  79. Reinforced Self-Training (ReST) for Language ModelingCaglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan, et al.2023 · 209 citations
  80. PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about ChangeKarthik Valmeekam, Matthew Marquez, Alberto Olmo, et al.2022 · 209 citations
  81. Progress measures for grokking via mechanistic interpretabilityNeel Nanda, Lawrence Chan, Tom Lieberum, et al.2023 · 207 citations
  82. Ring Attention with Blockwise Transformers for Near-Infinite ContextHao Liu, Matei Zaharia, Pieter Abbeel2023 · 207 citations
  83. Safe RLHF: Safe Reinforcement Learning from Human FeedbackJosef Dai, Xuehai Pan, Ruiyang Sun, et al.2023 · 207 citations
  84. Active Example Selection for In-Context LearningYiming Zhang, Shi Feng, Chenhao Tan2022 · 207 citations
  85. Prompting GPT-3 To Be ReliableChenglei Si, Zhe Gan, Zhengyuan Yang, et al.2022 · 206 citations
  86. Aya Dataset: An Open-Access Collection for Multilingual Instruction TuningShivalika Singh, Freddie Vargus, Daniel D'souza, et al.2024 · 202 citations
  87. SALMONN: Towards Generic Hearing Abilities for Large Language ModelsChangli Tang, Wenyi Yu, Guangzhi Sun, et al.2023 · 202 citations
  88. TinyStories: How Small Can Language Models Be and Still Speak Coherent English?Ronen Eldan, Yuanzhi Li2023 · 202 citations
  89. SODA: Million-scale Dialogue Distillation with Social Commonsense ContextualizationHyunwoo Kim, Jack Hessel, Liwei Jiang, et al.2023 · 201 citations
  90. Aligning Large Language Models with Human: A SurveyYufei Wang, Wanjun Zhong, Liangyou Li, et al.2023 · 199 citations
  91. Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2Hamish Ivison, Yizhong Wang, Valentina Pyatkin, et al.2023 · 199 citations
  92. A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 198 citations
  93. InstructUIE: Multi-task Instruction Tuning for Unified Information ExtractionXiao Wang, Weikang Zhou, Can Zu, et al.2023 · 194 citations
  94. Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human FeedbackViet Lai, Chien Nguyen, Nghia Ngo, et al.2023 · 194 citations
  95. From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder PipelineTianle Li, Wei-Lin Chiang, Evan Frick, et al.2024 · 191 citations
  96. Towards Making the Most of ChatGPT for Machine TranslationKeqin Peng, Liang Ding, Qihuang Zhong, et al.2023 · 190 citations
  97. GLiNER: Generalist Model for Named Entity Recognition using Bidirectional TransformerUrchade Zaratiana, Nadi Tomeh, Pierre Holat, et al.2024 · 189 citations
  98. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsHaitao Li, Qian Dong, Junjie Chen, et al.2024 · 188 citations
  99. LawBench: Benchmarking Legal Knowledge of Large Language ModelsZhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.2023 · 184 citations
  100. GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language ModelsArchiki Prasad, Peter Hase, Xiang Zhou, et al.2023 · 180 citations

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