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Who cites Rishi Bommasani

2,198 citations of their works from 2,113 papers of our library (of the 140,884 whose bibliographies we read) · 196 with a page here, the most cited first · page 2 of 2 · 101–196 · ← Rishi Bommasani

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  1. 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
  2. Scaling Relationship on Learning Mathematical Reasoning with Large Language ModelsZheng Yuan, Hongyi Yuan, Chengpeng Li, et al.2023 · 252 citations
  3. 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
  4. Personality Traits in Large Language ModelsGreg Serapio-Garcia, Mustafa Safdari, Clement Crepy, et al.2023 · 251 citations
  5. The Curse of Recursion: Training on Generated Data Makes Models ForgetIlia Shumailov, Zakhar Shumaylov, Yiren Zhao, et al.2023 · 250 citations
  6. DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT ModelsBoxin Wang, Weixin Chen, Hengzhi Pei, et al.2023 · 246 citations
  7. Tree of Attacks: Jailbreaking Black-Box LLMs AutomaticallyAnay Mehrotra, Manolis Zampetakis, Paul Kassianik, et al.2023 · 245 citations
  8. Factuality Challenges in the Era of Large Language ModelsIsabelle Augenstein, Timothy Baldwin, Meeyoung Cha, et al.2023 · 241 citations
  9. RAFT: Reward rAnked FineTuning for Generative Foundation Model AlignmentHanze Dong, Wei Xiong, Deepanshu Goyal, et al.2023 · 239 citations
  10. BlenderBot 3: a deployed conversational agent that continually learns to responsibly engageKurt Shuster, Jing Xu, Mojtaba Komeili, et al.2022 · 234 citations
  11. ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot LearningPetter Tornberg2023 · 230 citations
  12. TrustLLM: Trustworthiness in Large Language ModelsYue Huang, Lichao Sun, Haoran Wang, et al.2024 · 226 citations
  13. 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
  14. Specializing Smaller Language Models towards Multi-Step ReasoningYao Fu, Hao Peng, Litu Ou, et al.2023 · 222 citations
  15. A Survey of Hallucination in Large Foundation ModelsVipula Rawte, Amit Sheth, Amitava Das2023 · 221 citations
  16. 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
  17. Beyond neural scaling laws: beating power law scaling via data pruningBen Sorscher, Robert Geirhos, Shashank Shekhar, et al.2022 · 220 citations
  18. 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
  19. Self-critiquing models for assisting human evaluatorsWilliam Saunders, Catherine Yeh, Jeff Wu, et al.2022 · 219 citations
  20. FOLIO: Natural Language Reasoning with First-Order LogicSimeng Han, Hailey Schoelkopf, Yilun Zhao, et al.2022 · 217 citations
  21. Distilling Reasoning Capabilities into Smaller Language ModelsKumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan2023 · 216 citations
  22. MADLAD-400: A Multilingual And Document-Level Large Audited DatasetSneha Kudugunta, Isaac Caswell, Biao Zhang, et al.2023 · 211 citations
  23. Progress measures for grokking via mechanistic interpretabilityNeel Nanda, Lawrence Chan, Tom Lieberum, et al.2023 · 207 citations
  24. Active Example Selection for In-Context LearningYiming Zhang, Shi Feng, Chenhao Tan2022 · 207 citations
  25. Prompting GPT-3 To Be ReliableChenglei Si, Zhe Gan, Zhengyuan Yang, et al.2022 · 206 citations
  26. SALMONN: Towards Generic Hearing Abilities for Large Language ModelsChangli Tang, Wenyi Yu, Guangzhi Sun, et al.2023 · 202 citations
  27. A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 198 citations
  28. Towards Faithful Model Explanation in NLP: A SurveyQing Lyu, Marianna Apidianaki, Chris Callison-Burch2024 · 194 citations
  29. 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
  30. Towards Making the Most of ChatGPT for Machine TranslationKeqin Peng, Liang Ding, Qihuang Zhong, et al.2023 · 190 citations
  31. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesSander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 187 citations
  32. SGPT: GPT Sentence Embeddings for Semantic SearchNiklas Muennighoff2022 · 187 citations
  33. 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
  34. Debiasing Pre-trained Contextualised EmbeddingsMasahiro Kaneko, Danushka Bollegala2021 · 174 citations
  35. Promptagator: Few-shot Dense Retrieval From 8 ExamplesZhuyun Dai, Vincent Y. Zhao, Ji Ma, et al.2022 · 167 citations
  36. Improve Mathematical Reasoning in Language Models by Automated Process SupervisionLiangchen Luo, Yinxiao Liu, Rosanne Liu, et al.2024 · 163 citations
  37. Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak SupervisionCollin Burns, Pavel Izmailov, Jan Hendrik Kirchner, et al.2023 · 163 citations
  38. Orca 2: Teaching Small Language Models How to ReasonArindam Mitra, Luciano Del Corro, Shweti Mahajan, et al.2023 · 160 citations
  39. Reasoning with Language Model Prompting: A SurveyShuofei Qiao, Yixin Ou, Ningyu Zhang, et al.2022 · 160 citations
  40. GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via CipherYouliang Yuan, Wenxiang Jiao, Wenxuan Wang, et al.2023 · 158 citations
  41. TheoremQA: A Theorem-driven Question Answering DatasetWenhu Chen, Ming Yin, Max Ku, et al.2023 · 154 citations
  42. Leveraging Large Language Models for Multiple Choice Question AnsweringJoshua Robinson, Christopher Michael Rytting, David Wingate2022 · 154 citations
  43. Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative DecodingJun Zhang, Jue Wang, Huan Li, et al.2024 · 146 citations
  44. SCOTT: Self-Consistent Chain-of-Thought DistillationPeifeng Wang, Zhengyang Wang, Zheng Li, et al.2023 · 145 citations
  45. Self-Evaluation Guided Beam Search for ReasoningYuxi Xie, Kenji Kawaguchi, Yiran Zhao, et al.2023 · 145 citations
  46. MiniLLM: On-Policy Distillation of Large Language ModelsYuxian Gu, Li Dong, Furu Wei, et al.2023 · 143 citations
  47. How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language modelMichael Hanna, Ollie Liu, Alexandre Variengien2023 · 140 citations
  48. DeepInception: Hypnotize Large Language Model to Be JailbreakerXuan Li, Zhanke Zhou, Jianing Zhu, et al.2023 · 138 citations
  49. A Roadmap to Pluralistic AlignmentTaylor Sorensen, Jared Moore, Jillian Fisher, et al.2024 · 135 citations
  50. Task-aware Retrieval with InstructionsAkari Asai, Timo Schick, Patrick Lewis, et al.2023 · 131 citations
  51. Secrets of RLHF in Large Language Models Part I: PPORui Zheng, Shihan Dou, Songyang Gao, et al.2023 · 130 citations
  52. Improving Language Model Negotiation with Self-Play and In-Context Learning from AI FeedbackYao Fu, Hao Peng, Tushar Khot, et al.2023 · 129 citations
  53. Retrieval meets Long Context Large Language ModelsPeng Xu, Wei Ping, Xianchao Wu, et al.2023 · 129 citations
  54. Deductive Verification of Chain-of-Thought ReasoningZhan Ling, Yunhao Fang, Xuanlin Li, et al.2023 · 128 citations
  55. InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context MemoryChaojun Xiao, Pengle Zhang, Xu Han, et al.2024 · 125 citations
  56. Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow InstructionsFederico Bianchi, Mirac Suzgun, Giuseppe Attanasio, et al.2023 · 124 citations
  57. From Persona to Personalization: A Survey on Role-Playing Language AgentsJiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 114 citations
  58. Quiet-STaR: Language models can teach themselves to think before speaking2024 · 113 citations
  59. Olmo 3Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 109 citations
  60. RestGPT: Connecting Large Language Models with Real-World RESTful APIsYifan Song, Weimin Xiong, Dawei Zhu, et al.2023 · 108 citations
  61. ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language ModelsJinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, et al.2024 · 106 citations
  62. Inverse Scaling: When Bigger Isn't BetterIan R. McKenzie, Alexander Lyzhov, Michael Pieler, et al.2023 · 99 citations
  63. Language Modeling Is CompressionGregoire Deletang, Anian Ruoss, Paul-Ambroise Duquenne, et al.2023 · 89 citations
  64. Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language GenerationPatrick Fernandes, Aman Madaan, Emmy Liu, et al.2023 · 84 citations
  65. Transcending Scaling Laws with 0.1% Extra ComputeYi Tay, Jason Wei, Hyung Won Chung, et al.2022 · 40 citations
  66. Towards Effective Disambiguation for Machine Translation with Large Language ModelsVivek Iyer, Pinzhen Chen, Alexandra Birch2023 · 38 citations
  67. OG-RAG: Ontology-grounded retrieval-augmented generation for large language modelsKartik Sharma, Peeyush Kumar, Yunqing Li2025 · 37 citations
  68. Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling ApproachesDaniel Fried, Nicholas Tomlin, Jennifer Hu, et al.2023 · 36 citations
  69. Observational Scaling Laws and the Predictability of Language Model PerformanceYangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 28 citations
  70. Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT ModelsZaid Alyafeai, Maged S. Alshaibani, Badr AlKhamissi, et al.2023 · 25 citations
  71. Scaling Laws and Compute-Optimal Training Beyond Fixed Training DurationsAlexander Hägele, Elie Bakouch, Atli Kosson, et al.2024 · 24 citations
  72. DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic RulesYanchen Liu, William Held, Diyi Yang2023 · 20 citations
  73. Evaluating statistical language models as pragmatic reasonersBenjamin Lipkin, Lionel Wong, Gabriel Grand, et al.2023 · 18 citations
  74. Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models — The Story Goes OnLiang Zeng, Liangjun Zhong, Liang Zhao, et al.2024 · 14 citations
  75. Unveiling Language Competence Neurons: A Psycholinguistic Approach to Model InterpretabilityXufeng Duan, Xinyu Zhou, Bei Xiao, et al.2025 · 8 citations
  76. Bridging the Resource Gap: Exploring the Efficacy of English and Multilingual LLMs for SwedishOskar Holmström, Jenny Kunz, Marco Kuhlmann2023 · 8 citations
  77. MedAraBench: Large-Scale Arabic Medical Question Answering Dataset and BenchmarkMouath Abu-Daoud, Leen Kharouf, Omar El Hajj, et al.2026 · 5 citations
  78. Gender Disambiguation in Machine Translation: Diagnostic Evaluation in Decoder-Only ArchitecturesChiara Manna, Hosein Mohebbi, Afra Alishahi, et al.2026 · 3 citations
  79. Benchmarking Large Language Models for Chinese and Japanese IMEs: Phonetic-to-Character Generation and Textual Error CorrectionYuchun Zou, Tedd Lee, Xiaodi Fan, et al.2026 · 2 citations
  80. Fine-Tashkeel: Finetuning Byte-Level Models for Accurate Arabic Text DiacritizationBashar Al-Rfooh, Gheith Abandah, Rami Al-Rfou2023 · 2 citations
  81. Construction Grammar Evidence for How LLMs Use Context-Directed Extrapolation to Solve TasksHarish Tayyar Madabushi, Claire Bonial2025 · 1 citation
  82. A Survey on Parameter-efficient Fine-tuning of Large Models: Techniques, Trends, and Challenges (大模型参数高效微调方法综述: 技术、趋势与挑战)Anda Tang (唐岸达), Zhouchen Lin (林宙辰)2026
  83. AmazoniaNLP: A Survey of Extreme Low-Resource Languages in the Peruvian-Brazilian AmazonRodolfo Joel Zevallos, Fabrício Carraro, John E. Ortega2026
  84. From sunblock to softblock: Analyzing the correlates of neology in published writing and on social mediaMaria Ryskina, Matthew R. Gormley, Kyle Mahowald, et al.2026
  85. Headlines You Won't Forget: Can Pronoun Insertion Increase Memorability?Selina Meyer, Magdalena Abel, Michael Roth2026
  86. How Far Can Bias Go? Tracing Bias from Pre-Training Data to AlignmentMarion Thaler, Abdullatif Köksal, Alina Leidinger, et al.2026
  87. Is Biomedical Specialization Still Worth It? Insights from Domain-Adaptive Language Modelling with a New French Health CorpusAidan Mannion, Cécile Macaire, Armand Violle, et al.2026
  88. Lost in Translation: Repurposing semantic similarity benchmarks for evaluating lexical-semantic consistency in LLM-based machine translationQuin Ye, Jelke Bloem2026
  89. On Temperature-Constrained Non-Deterministic Machine Translation: Potential and EvaluationWeichuan Wang, Mingyang Liu, Chen Ma, et al.2026
  90. One Word Is Not Enough: Simple Prompts Improve Word EmbeddingsRajeev Ranjan2026
  91. Recent Advances in Text-attributed Graph Learning via Large Models (大模型驱动的文本属性图学习研究进展)Yanping Zheng (郑艳萍), Jiarui Ji (季嘉蕊), Yuwei Hu (胡雨韦), et al.2026
  92. Sentiment Classification of Gaza War Headlines: A Comparative Analysis of Large Language Models and Arabic Fine-Tuned BERT ModelsAmr Eleraqi; Hager H. Mustafa;, Abdul Hadi N. Ahmed2026
  93. Toward Cognitive Alignment in Large Language Models: Integrating Linguistic Theory and Human DataWajdi Zaghouani2026
  94. Embodied Intelligence Systems Based on Large Models: A Survey (基于大模型的具身智能系统综述)Wensheng Wang (王文晟), Ning Tan (谭宁), Kai Huang (黄凯), et al.2025
  95. Survey on Hallucinations in Large Language Models (大语言模型的幻觉问题研究综述)Zeyuan Liu (刘泽垣), Pengjiang Wang (王鹏江), Xiaobin Song (宋晓斌), et al.2024
  96. Questions After ChatGPT: Opportunities and Challenges of Very Large Pre-trained Models (问答ChatGPT之后: 超大预训练模型的机遇和挑战)Jingwei Lu (卢经纬), Chao Guo (郭超), Xingyuan Dai (戴星原), et al.2023

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