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Who cites Jack W. Rae

17,168 citations of their works from 13,732 papers of our library (of the 149,439 whose bibliographies we read) · 3,050 with a page here, the most cited first · page 6 of 31 · 501–600 · ← Jack W. Rae

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  1. Quark: Controllable Text Generation with Reinforced UnlearningConference on Neural Information Processing Systems (NeurIPS)Ximing Lu, Sean Welleck, Jack Hessel, et al.2022 · 170 citations
  2. HunyuanVideo: A Systematic Framework For Large Video Generative ModelsarXiv:2412.03603Weijie Kong, Qi Tian, Zijian Zhang, et al.2024 · 169 citations
  3. ShortGPT: Layers in Large Language Models are More Redundant Than You ExpectarXiv:2403.03853Xin Men, Mingyu Xu, Qingyu Zhang, et al.2024 · 169 citations
  4. GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak PromptsarXiv:2309.10253Jiahao Yu, Xingwei Lin, Zheng Yu, et al.2023 · 169 citations
  5. The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False DatasetsarXiv:2310.06824Samuel Marks, Max Tegmark2023 · 169 citations
  6. Improve Mathematical Reasoning in Language Models by Automated Process SupervisionarXiv:2406.06592Liangchen Luo, Yinxiao Liu, Rosanne Liu, et al.2024 · 168 citations
  7. Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge ConflictsarXiv:2305.13300Jian Xie, Kai Zhang, Jiangjie Chen, et al.2023 · 168 citations
  8. GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via CipherarXiv:2308.06463Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, et al.2023 · 168 citations
  9. Factuality Enhanced Language Models for Open-Ended Text GenerationConference on Neural Information Processing Systems (NeurIPS)Nayeon Lee, Wei Ping, Peng Xu, et al.2022 · 168 citations
  10. Tutel: Adaptive Mixture-of-Experts at ScaleMLSys 2023Changho Hwang, Wei Cui, Yifan Xiong, et al.2022 · 168 citations
  11. Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights CasesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ilias Chalkidis, Manos Fergadiotis, Dimitrios Tsarapatsanis, et al.2021 · 168 citations
  12. “I'm sorry to hear that”: Finding New Biases in Language Models with a Holistic Descriptor DatasetConference on Empirical Methods in Natural Language Processing (EMNLP)Eric Michael Smith, Melissa Hall, Melanie Kambadur, et al.2022 · 167 citations
  13. GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation ModelsarXiv:2508.06471Aohan Zeng, Xin Lv, Qinkai Zheng, et al.2025 · 166 citations
  14. LongVideoBench: A Benchmark for Long-context Interleaved Video-Language UnderstandingConference on Neural Information Processing Systems (NeurIPS)Haoning Wu, Dongxu Li, Bei Chen, et al.2024 · 166 citations
  15. MiniCheck: Efficient Fact-Checking of LLMs on Grounding DocumentsConference on Empirical Methods in Natural Language Processing (EMNLP)Liyan Tang, Philippe Laban, Greg Durrett2024 · 166 citations
  16. Long-form factuality in large language modelsConference on Neural Information Processing Systems (NeurIPS)Jerry Wei, Chengrun Yang, Xinying Song, et al.2024 · 165 citations
  17. WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMsConference on Neural Information Processing Systems (NeurIPS)Seungju Han, Kavel Rao, Allyson Ettinger, et al.2024 · 165 citations
  18. LooGLE: Can Long-Context Language Models Understand Long Contexts?Annual Meeting of the Association for Computational Linguistics (ACL)Jiaqi Li, Mengmeng Wang, Zilong Zheng, et al.2023 · 165 citations
  19. The Linear Representation Hypothesis and the Geometry of Large Language ModelsInternational Conference on Machine Learning (ICML)Kiho Park, Yo Joong Choe, Victor Veitch2023 · 165 citations
  20. Can We Automate Scientific Reviewing?Journal of Artificial Intelligence ResearchWeizhe Yuan, Pengfei Liu, Graham Neubig2021 · 165 citations
  21. Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language ModelsBioinformaticsMinbyul Jeong, Jiwoong Sohn, Mujeen Sung, et al.2024 · 164 citations
  22. Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language ModelsarXiv:2410.07985Bofei Gao, Feifan Song, Zhe Yang, et al.2024 · 163 citations
  23. AgentTuning: Enabling Generalized Agent Abilities for LLMsarXiv:2310.12823Aohan Zeng, Mingdao Liu, Rui Lu, et al.2023 · 163 citations
  24. CultureLLM: Incorporating Cultural Differences into Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Cheng Li, Mengzhou Chen, Jindong Wang, et al.2024 · 162 citations
  25. Orca 2: Teaching Small Language Models How to ReasonarXiv:2311.11045Arindam Mitra, Luciano Del Corro, Shweti Mahajan, et al.2023 · 162 citations
  26. Language models show human-like content effects on reasoning tasksarXiv:2207.07051Ishita Dasgupta, Andrew K. Lampinen, Stephanie C. Y. Chan, et al.2022 · 162 citations
  27. The Lessons of Developing Process Reward Models in Mathematical ReasoningFindings of the Association for Computational LinguisticsZhenru Zhang, Chujie Zheng, Yangzhen Wu, et al.2025 · 161 citations
  28. From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction TuningarXiv:2308.12032Ming Li, Yong Zhang, Zhitao Li, et al.2023 · 161 citations
  29. Reasoning with Language Model Prompting: A SurveyarXiv:2212.09597Shuofei Qiao, Yixin Ou, Ningyu Zhang, et al.2022 · 161 citations
  30. SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-trainingarXiv:2501.17161Tianzhe Chu, Yuexiang Zhai, Jihan Yang, et al.2025 · 160 citations
  31. FacTool: Factuality Detection in Generative AI — A Tool Augmented Framework for Multi-Task and Multi-Domain ScenariosarXiv:2307.13528I-Chun Chern, Steffi Chern, Shiqi Chen, et al.2023 · 160 citations
  32. A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and TrustworthinessACM Transactions on Intelligent Systems and TechnologyFali Wang, Zhiwei Zhang, Xianren Zhang, et al.2024 · 159 citations
  33. Chameleon: Mixed-Modal Early-Fusion Foundation ModelsarXiv:2405.09818Chameleon Team2024 · 159 citations
  34. Jamba: A Hybrid Transformer-Mamba Language ModelarXiv:2403.19887Opher Lieber, Barak Lenz, Hofit Bata, et al.2024 · 159 citations
  35. Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and OrderingAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyong Wu, Yaoxiang Wang, Jiacheng Ye, et al.2022 · 159 citations
  36. Large Language Models with Controllable Working MemoryFindings of the Association for Computational LinguisticsDaliang Li, Ankit Singh Rawat, Manzil Zaheer, et al.2023 · 158 citations
  37. The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation EvaluationConference on Machine Translation (WMT)Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, et al.2023 · 158 citations
  38. TheoremQA: A Theorem-driven Question Answering DatasetConference on Empirical Methods in Natural Language Processing (EMNLP)Wenhu Chen, Ming Yin, Max Ku, et al.2023 · 158 citations
  39. MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUsarXiv:2402.15627Ziheng Jiang, Haibin Lin, Yinmin Zhong, et al.2024 · 157 citations
  40. Moshi: a speech-text foundation model for real-time dialoguearXiv:2410.00037Alexandre Defossez, Laurent Mazare, Manu Orsini, et al.2024 · 157 citations
  41. Are aligned neural networks adversarially aligned?Conference on Neural Information Processing Systems (NeurIPS)Nicholas Carlini, Milad Nasr, Christopher A. Choquette-Choo, et al.2023 · 157 citations
  42. Locally Typical SamplingTransactions of the Association for Computational Linguistics (TACL)Clara Meister, Tiago Pimentel, Gian Wiher, et al.2023 · 157 citations
  43. Leveraging Large Language Models for Multiple Choice Question AnsweringarXiv:2210.12353Joshua Robinson, Christopher Michael Rytting, David Wingate2022 · 157 citations
  44. Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyi Tang, Wenyang Luo, Haoyang Huang, et al.2024 · 156 citations
  45. ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Justin Chen, Swarnadeep Saha, Mohit Bansal2024 · 156 citations
  46. Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors PersistConference on Machine Translation (WMT)Marzena Karpinska, Mohit Iyyer2023 · 156 citations
  47. Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph ConstructionConference on Empirical Methods in Natural Language Processing (EMNLP)Bowen Zhang, Harold Soh2024 · 155 citations
  48. PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information FunnelingarXiv:2406.02069Zefan Cai, Yichi Zhang, Bofei Gao, et al.2024 · 155 citations
  49. Ask Me Anything: A simple strategy for prompting language modelsarXiv:2210.02441Simran Arora, Avanika Narayan, Mayee F. Chen, et al.2022 · 154 citations
  50. Iterative Reasoning Preference OptimizationConference on Neural Information Processing Systems (NeurIPS)Richard Yuanzhe Pang, Weizhe Yuan, Kyunghyun Cho, et al.2024 · 153 citations
  51. The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Junyi Li, Jie Chen, Ruiyang Ren, et al.2024 · 153 citations
  52. ChatGPT MT: Competitive for High- (but Not Low-) Resource LanguagesConference on Machine Translation (WMT)Nathaniel Robinson, Perez Ogayo, David R. Mortensen, et al.2023 · 153 citations
  53. Fine-Tuning Language Models with Just Forward PassesConference on Neural Information Processing Systems (NeurIPS)Sadhika Malladi, Tianyu Gao, Eshaan Nichani, et al.2023 · 153 citations
  54. Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAsarXiv:2503.01743Microsoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al.2025 · 152 citations
  55. BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and LanguagesConference on Neural Information Processing Systems (NeurIPS)Junho Myung, Nayeon Lee, Yi Zhou, et al.2024 · 152 citations
  56. Generative Verifiers: Reward Modeling as Next-Token PredictionarXiv:2408.15240Lunjun Zhang, Arian Hosseini, Hritik Bansal, et al.2024 · 152 citations
  57. AnnoLLM: Making Large Language Models to Be Better Crowdsourced AnnotatorsarXiv:2303.16854Xingwei He, Zhenghao Lin, Yeyun Gong, et al.2023 · 152 citations
  58. Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and MitigationarXiv:2305.15852Niels Mundler, Jingxuan He, Slobodan Jenko, et al.2023 · 152 citations
  59. MedGemma Technical ReportarXiv:2507.05201Andrew Sellergren, Sahar Kazemzadeh, Tiam Jaroensri, et al.2025 · 150 citations
  60. Searching for Best Practices in Retrieval-Augmented GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaohua Wang, Zhenghua Wang, Xuan Gao, et al.2024 · 150 citations
  61. M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Wenxuan Zhang, Sharifah Mahani Aljunied, Chang Gao, et al.2023 · 150 citations
  62. The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual DatasetarXiv:2303.03915Hugo Laurençon, Lucile Saulnier, Thomas Wang, et al.2023 · 150 citations
  63. Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Wenhao Yu, Hongming Zhang, Xiaoman Pan, et al.2024 · 149 citations
  64. Evaluating Correctness and Faithfulness of Instruction-Following Models for Question AnsweringTransactions of the Association for Computational Linguistics (TACL)Vaibhav Adlakha, Parishad BehnamGhader, Xing Han Lu, et al.2024 · 149 citations
  65. OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language ModelsProceedings of the AAAI Conference on Artificial IntelligenceChanghun Lee, Jungyu Jin, Taesu Kim, et al.2023 · 149 citations
  66. RA-DIT: Retrieval-Augmented Dual Instruction TuningarXiv:2310.01352Xi Victoria Lin, Xilun Chen, Mingda Chen, et al.2023 · 149 citations
  67. SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language ModelsarXiv:2307.10635Xiaoxuan Wang, Ziniu Hu, Pan Lu, et al.2023 · 149 citations
  68. Self-Evaluation Guided Beam Search for ReasoningConference on Neural Information Processing Systems (NeurIPS)Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, et al.2023 · 149 citations
  69. TALM: Tool Augmented Language ModelsarXiv:2205.12255Aaron Parisi, Yao Zhao, Noah Fiedel2022 · 149 citations
  70. Justice or Prejudice? Quantifying Biases in LLM-as-a-JudgearXiv:2410.02736Jiayi Ye, Yanbo Wang, Yue Huang, et al.2024 · 148 citations
  71. Language Model Behavior: A Comprehensive SurveyComputational LinguisticsTyler A. Chang, Benjamin K. Bergen2024 · 148 citations
  72. Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with NothingarXiv:2406.08464Zhangchen Xu, Fengqing Jiang, Luyao Niu, et al.2024 · 148 citations
  73. Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability CurvaturearXiv:2310.05130Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, et al.2023 · 148 citations
  74. Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and EvaluationFindings of the Association for Computational LinguisticsMarius Mosbach, Tiago Pimentel, Shauli Ravfogel, et al.2023 · 148 citations
  75. Beyond Human Data: Scaling Self-Training for Problem-Solving with Language ModelsarXiv:2312.06585Avi Singh, John D. Co-Reyes, Rishabh Agarwal, et al.2023 · 147 citations
  76. GPT4Tools: Teaching Large Language Model to Use Tools via Self-instructionConference on Neural Information Processing Systems (NeurIPS)Rui Yang, Lin Song, Yanwei Li, et al.2023 · 147 citations
  77. MLAgentBench: Evaluating Language Agents on Machine Learning ExperimentationarXiv:2310.03302Qian Huang, Jian Vora, Percy Liang, et al.2023 · 147 citations
  78. Text Embeddings Reveal (Almost) As Much As TextConference on Empirical Methods in Natural Language Processing (EMNLP)John Morris, Volodymyr Kuleshov, Vitaly Shmatikov, et al.2023 · 147 citations
  79. ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool EmbeddingsConference on Neural Information Processing Systems (NeurIPS)Shibo Hao, Tianyang Liu, Zhen Wang, et al.2023 · 147 citations
  80. Is GPT-3 a Good Data Annotator?arXiv:2212.10450Bosheng Ding, Chengwei Qin, Linlin Liu, et al.2022 · 147 citations
  81. rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep ThinkingarXiv:2501.04519Xinyu Guan, Li Lyna Zhang, Yifei Liu, et al.2025 · 146 citations
  82. GPT-4V(ision) is a Generalist Web Agent, if GroundedarXiv:2401.01614Boyuan Zheng, Boyu Gou, Jihyung Kil, et al.2024 · 146 citations
  83. Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative DecodingFindings of the Association for Computational LinguisticsHeming Xia, Zhe Yang, Qingxiu Dong, et al.2024 · 146 citations
  84. PMC-LLaMA: Towards Building Open-source Language Models for MedicinearXiv:2304.14454Chaoyi Wu, Weixiong Lin, Xiaoman Zhang, et al.2023 · 146 citations
  85. How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data CompositionAnnual Meeting of the Association for Computational Linguistics (ACL)Guanting Dong, Hongyi Yuan, Keming Lu, et al.2024 · 145 citations
  86. Efficient Methods for Natural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL)Marcos Treviso, Ji-Ung Lee, Tianchu Ji, et al.2023 · 145 citations
  87. JudgeLM: Fine-tuned Large Language Models are Scalable JudgesarXiv:2310.17631Lianghui Zhu, Xinggang Wang, Xinlong Wang2023 · 145 citations
  88. MiniLLM: On-Policy Distillation of Large Language ModelsarXiv:2306.08543Yuxian Gu, Li Dong, Furu Wei, et al.2023 · 144 citations
  89. mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality CollaborationarXiv:2311.04257Qinghao Ye, Haiyang Xu, Jiabo Ye, et al.2023 · 144 citations
  90. SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked PrefillsarXiv 2023Amey Agrawal, Ashish Panwar, Jayashree Mohan, et al.2023 · 144 citations
  91. Efficient Training of Language Models to Fill in the MiddlearXiv:2207.14255Mohammad Bavarian, Heewoo Jun, Nikolas Tezak, et al.2022 · 144 citations
  92. Iteratively Prompt Pre-trained Language Models for Chain of ThoughtConference on Empirical Methods in Natural Language Processing (EMNLP)Boshi Wang, Xiang Deng, Huan Sun2022 · 144 citations
  93. A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence GenerationarXiv:2307.03987Neeraj Varshney; Wenlin Yao; Hongming Zhang; Jianshu Chen;, Dong Yu2023 · 143 citations
  94. Rethinking with Retrieval: Faithful Large Language Model InferencearXiv:2301.00303Hangfeng He, Hongming Zhang, Dan Roth2023 · 143 citations
  95. Understanding the Effects of RLHF on LLM Generalisation and DiversityarXiv:2310.06452Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, et al.2023 · 143 citations
  96. Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse AttentionarXiv:2502.11089Jingyang Yuan, Huazuo Gao, Damai Dai, et al.2025 · 142 citations
  97. Dense X Retrieval: What Retrieval Granularity Should We Use?Conference on Empirical Methods in Natural Language Processing (EMNLP)Tong Chen, Hongwei Wang, Sihao Chen, et al.2024 · 142 citations
  98. LongRoPE: Extending LLM Context Window Beyond 2 Million TokensarXiv:2402.13753Yiran Ding, Li Lyna Zhang, Chengruidong Zhang, et al.2024 · 142 citations
  99. Many-Shot In-Context LearningConference on Neural Information Processing Systems (NeurIPS)Rishabh Agarwal, Avi Singh, Lei M. Zhang, et al.2024 · 142 citations
  100. PaliGemma: A versatile 3B VLM for transferarXiv:2407.07726Lucas Beyer, Andreas Steiner, Andre Susano Pinto, et al.2024 · 142 citations

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