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Who cites Scott Gray

4,412 citations of their works from 4,198 papers of our library (of the 140,884 whose bibliographies we read) · 273 with a page here, the most cited first · page 2 of 3 · 101–200 · ← Scott Gray

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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. 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
  3. Scaling Relationship on Learning Mathematical Reasoning with Large Language ModelsZheng Yuan, Hongyi Yuan, Chengpeng Li, et al.2023 · 252 citations
  4. Personality Traits in Large Language ModelsGreg Serapio-Garcia, Mustafa Safdari, Clement Crepy, et al.2023 · 251 citations
  5. 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
  6. Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and ToxicityTerry Yue Zhuo, Yujin Huang, Chunyang Chen, et al.2023 · 243 citations
  7. Large Language Monkeys: Scaling Inference Compute with Repeated SamplingBradley Brown, Jordan Juravsky, Ryan Ehrlich, et al.2024 · 241 citations
  8. Perceiver: General Perception with Iterative AttentionAndrew Jaegle, Felix Gimeno, Andrew Brock, et al.2021 · 238 citations
  9. TrustLLM: Trustworthiness in Large Language ModelsYue Huang, Lichao Sun, Haoran Wang, et al.2024 · 226 citations
  10. 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
  11. Specializing Smaller Language Models towards Multi-Step ReasoningYao Fu, Hao Peng, Litu Ou, et al.2023 · 222 citations
  12. Beyond neural scaling laws: beating power law scaling via data pruningBen Sorscher, Robert Geirhos, Shashank Shekhar, et al.2022 · 220 citations
  13. Transformer Memory as a Differentiable Search IndexYi Tay, Vinh Q. Tran, Mostafa Dehghani, et al.2022 · 220 citations
  14. 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
  15. Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free LunchLe Yu, Bowen Yu, Haiyang Yu, et al.2023 · 209 citations
  16. Prompting GPT-3 To Be ReliableChenglei Si, Zhe Gan, Zhengyuan Yang, et al.2022 · 206 citations
  17. Search-o1: Agentic Search-Enhanced Large Reasoning ModelsXiaoxi Li, Guanting Dong, Jiajie Jin, et al.2025 · 205 citations
  18. LIMO: Less is More for ReasoningYixin Ye, Zhen Huang, Yang Xiao, et al.2025 · 204 citations
  19. TinyStories: How Small Can Language Models Be and Still Speak Coherent English?Ronen Eldan, Yuanzhi Li2023 · 202 citations
  20. COCO-LM: Correcting and Contrasting Text Sequences for Language Model PretrainingYu Meng, Chenyan Xiong, Payal Bajaj, et al.2021 · 196 citations
  21. InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal ModelsJinguo Zhu, Weiyun Wang, Zhe Chen, et al.2025 · 195 citations
  22. RRHF: Rank Responses to Align Language Models with Human Feedback without tearsZheng Yuan, Hongyi Yuan, Chuanqi Tan, et al.2023 · 194 citations
  23. Merging Models with Fisher-Weighted AveragingMichael Matena, Colin Raffel2021 · 190 citations
  24. Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language ModelsMatt Deitke, Christopher Clark, Sangho Lee, et al.2024 · 184 citations
  25. LawBench: Benchmarking Legal Knowledge of Large Language ModelsZhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.2023 · 184 citations
  26. OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text DocumentsHugo Laurençon, Lucile Saulnier, Leo Tronchon, et al.2023 · 183 citations
  27. Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language ModelsKushal Tirumala, Aram H. Markosyan, Luke Zettlemoyer, et al.2022 · 183 citations
  28. Pre-training via ParaphrasingMike Lewis, Marjan Ghazvininejad, Gargi Ghosh, et al.2020 · 181 citations
  29. Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual EvaluationShivalika Singh, Angelika Romanou, Clémentine Fourrier, et al.2025 · 179 citations
  30. Knowledge Conflicts for LLMs: A SurveyRongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 179 citations
  31. Effective Long-Context Scaling of Foundation ModelsWenhan Xiong, Jingyu Liu, Igor Molybog, et al.2023 · 177 citations
  32. 8-bit Optimizers via Block-wise QuantizationTim Dettmers, Mike Lewis, Sam Shleifer, et al.2021 · 177 citations
  33. ShortGPT: Layers in Large Language Models are More Redundant Than You ExpectXin Men, Mingyu Xu, Qingyu Zhang, et al.2024 · 167 citations
  34. Large Language Diffusion ModelsShen Nie, Fengqi Zhu, Zebin You, et al.2025 · 164 citations
  35. BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex InstructionsTerry Yue Zhuo, Minh Chien Vu, Jenny Chim, et al.2024 · 163 citations
  36. Scaling Synthetic Data Creation with 1,000,000,000 PersonasTao Ge, Xin Chan, Xiaoyang Wang, et al.2024 · 160 citations
  37. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyWeiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 159 citations
  38. DataComp-LM: In search of the next generation of training sets for language modelsJeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 156 citations
  39. The Lessons of Developing Process Reward Models in Mathematical ReasoningZhenru Zhang, Chujie Zheng, Yangzhen Wu, et al.2025 · 155 citations
  40. HunyuanVideo: A Systematic Framework For Large Video Generative ModelsWeijie Kong, Qi Tian, Zijian Zhang, et al.2024 · 155 citations
  41. Leveraging Large Language Models for Multiple Choice Question AnsweringJoshua Robinson, Christopher Michael Rytting, David Wingate2022 · 154 citations
  42. 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
  43. Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAsMicrosoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al.2025 · 145 citations
  44. How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data CompositionGuanting Dong, Hongyi Yuan, Keming Lu, et al.2024 · 145 citations
  45. The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual DatasetHugo Laurençon, Lucile Saulnier, Thomas Wang, 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. PMC-LLaMA: Towards Building Open-source Language Models for MedicineChaoyi Wu, Weixiong Lin, Xiaoman Zhang, et al.2023 · 142 citations
  48. Rethinking embedding coupling in pre-trained language modelsHyung Won Chung, Thibault Févry, Henry Tsai, et al.2020 · 142 citations
  49. JudgeLM: Fine-tuned Large Language Models are Scalable JudgesLianghui Zhu, Xinggang Wang, Xinlong Wang2023 · 141 citations
  50. DeepInception: Hypnotize Large Language Model to Be JailbreakerXuan Li, Zhanke Zhou, Jianing Zhu, et al.2023 · 138 citations
  51. Efficient Training of Language Models to Fill in the MiddleMohammad Bavarian, Heewoo Jun, Nikolas Tezak, et al.2022 · 137 citations
  52. Agent Laboratory: Using LLM Agents as Research AssistantsSamuel Schmidgall, Yusheng Su, Ze Wang, et al.2025 · 136 citations
  53. Many-Shot In-Context LearningRishabh Agarwal, Avi Singh, Lei M. Zhang, et al.2024 · 134 citations
  54. Few-Shot Self-Rationalization with Natural Language PromptsAna Marasovic, Iz Beltagy, Doug Downey, et al.2022 · 134 citations
  55. Formal Mathematics Statement Curriculum LearningStanislas Polu, Jesse Michael Han, Kunhao Zheng, et al.2022 · 132 citations
  56. EuroLLM: Multilingual Language Models for EuropePedro Henrique Martins, Patrick Fernandes, Joao Alves, et al.2024 · 131 citations
  57. Large Language Model Alignment: A SurveyTianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 123 citations
  58. Mem0: Building Production-Ready AI Agents with Scalable Long-Term MemoryPrateek Chhikara, Dev Khant, Saket Aryan, et al.2025 · 122 citations
  59. INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic FeedbackWenda Xu, Danqing Wang, Liangming Pan, et al.2023 · 122 citations
  60. The case for 4-bit precision: k-bit Inference Scaling LawsTim Dettmers, Luke Zettlemoyer2022 · 119 citations
  61. Chameleon: Mixed-Modal Early-Fusion Foundation ModelsChameleon Team2024 · 117 citations
  62. ProcessBench: Identifying Process Errors in Mathematical ReasoningChujie Zheng, Zhenru Zhang, Beichen Zhang, et al.2025 · 116 citations
  63. HealthBench: Evaluating Large Language Models Towards Improved Human HealthRahul K. Arora, Jason Wei, Rebecca Soskin Hicks, et al.2025 · 115 citations
  64. Scaling Laws for Autoregressive Generative ModelingTom Henighan, Jared Kaplan, Mor Katz, et al.2020 · 115 citations
  65. Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language ModelsYangzhen Wu, Zhiqing Sun, Shanda Li, et al.2024 · 114 citations
  66. ALLaM: Large Language Models for Arabic and EnglishM Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al.2024 · 113 citations
  67. DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world EnvironmentsYuxiang Zheng, Dayuan Fu, Xiangkun Hu, et al.2025 · 108 citations
  68. Data Engineering for Scaling Language Models to 128K ContextYao Fu, Rameswar Panda, Xinyao Niu, et al.2024 · 107 citations
  69. Scaling Laws for TransferDanny Hernandez, Jared Kaplan, Tom Henighan, et al.2021 · 102 citations
  70. UI-TARS: Pioneering Automated GUI Interaction with Native AgentsYujia Qin, Yining Ye, Junjie Fang, et al.2025 · 101 citations
  71. Inverse Scaling: When Bigger Isn't BetterIan R. McKenzie, Alexander Lyzhov, Michael Pieler, et al.2023 · 99 citations
  72. SemDeDup: Data-efficient learning at web-scale through semantic deduplicationAmro Abbas, Kushal Tirumala, Dániel Simig, et al.2023 · 94 citations
  73. Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse RelationsChunkit Chan, Cheng Jiayang, Weiqi Wang, et al.2024 · 92 citations
  74. Skywork: A More Open Bilingual Foundation ModelTianwen Wei, Liang Zhao, Lichang Zhang, et al.2023 · 91 citations
  75. Language Modeling Is CompressionGregoire Deletang, Anian Ruoss, Paul-Ambroise Duquenne, et al.2023 · 89 citations
  76. D4: Improving LLM Pretraining via Document De-Duplication and DiversificationKushal Tirumala, Daniel Simig, Armen Aghajanyan, et al.2023 · 79 citations
  77. Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?Yi Tay, Mostafa Dehghani, Samira Abnar, et al.2023 · 79 citations
  78. Coreference Resolution through a seq2seq Transition-Based SystemBernd Bohnet, Chris Alberti, Michael Collins2023 · 77 citations
  79. Iterative Translation Refinement with Large Language ModelsPinzhen Chen, Zhicheng Guo, Barry Haddow, et al.2024 · 73 citations
  80. Neural Networks and the Chomsky HierarchyGrégoire Delétang, Anian Ruoss, Jordi Grau-Moya, et al.2022 · 66 citations
  81. Scaling Laws and Interpretability of Learning from Repeated DataDanny Hernandez, Tom Brown, Tom Conerly, et al.2022 · 62 citations
  82. TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic VarietiesKarima Kadaoui, Samar M. Magdy, Abdul Waheed, et al.2023 · 60 citations
  83. Scaling Laws of RoPE-based ExtrapolationXiaoran Liu, Hang Yan, Shuo Zhang, et al.2023 · 53 citations
  84. Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling LawsNikhil Sardana, Jacob Portes, Sasha Doubov, et al.2024 · 47 citations
  85. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesChaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 42 citations
  86. Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time ScalingRunze Liu, Junqi Gao, Jian Zhao, et al.2025 · 41 citations
  87. Transcending Scaling Laws with 0.1% Extra ComputeYi Tay, Jason Wei, Hyung Won Chung, et al.2022 · 40 citations
  88. Scaling Laws for Generative Mixed-Modal Language ModelsArmen Aghajanyan, Lili Yu, Alexis Conneau, et al.2023 · 39 citations
  89. SemEval-2025 Task 1: AdMIRe - Advancing Multimodal Idiomaticity RepresentationThomas Pickard, Aline Villavicencio, Maggie Mi, et al.2025 · 30 citations
  90. Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling ApproachKoren Lazar, Benny Saret, Asaf Yehudai, et al.2021 · 30 citations
  91. Observational Scaling Laws and the Predictability of Language Model PerformanceYangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 28 citations
  92. Exploring the Relationship between LLM Hallucinations and Prompt Linguistic Nuances: Readability, Formality, and ConcretenessVipula Rawte, Prachi Priya, S.M Towhidul Islam Tonmoy, et al.2023 · 27 citations
  93. Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal SamplingHritik Bansal, Arian Hosseini, Rishabh Agarwal, et al.2024 · 26 citations
  94. Scaling Laws and Compute-Optimal Training Beyond Fixed Training DurationsAlexander Hägele, Elie Bakouch, Atli Kosson, et al.2024 · 24 citations
  95. Distillation Scaling LawsDan Busbridge, Amitis Shidani, Floris Weers, et al.2025 · 23 citations
  96. Do Large Language Models Understand Word Senses?Domenico Meconi, Simone Stirpe, Federico Martelli2025 · 18 citations
  97. New Trends for Modern Machine Translation with Large Reasoning ModelsSinuo Liu, Chenyang Lyu, Minghao Wu, et al.2026 · 16 citations
  98. A Large and Diverse Arabic Corpus for Language ModelingAbbas Raza Ali, Muhammad Ajmal Siddiqui, Rema Algunaibet, et al.2022 · 16 citations
  99. A Simple and Strong Baseline for End-to-End Neural RST-style Discourse ParsingNaoki Kobayashi, Tsutomu Hirao, Hidetaka Kamigaito, et al.2022 · 16 citations
  100. METAL: A Multi-Agent Framework for Chart Generation with Test-Time ScalingBingxuan Li, Yiwei Wang, Jiuxiang Gu, et al.2025 · 15 citations

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