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Who cites Aidan Clark

4,729 citations of their works from 4,354 papers of our library (of the 140,884 whose bibliographies we read) · 272 with a page here, the most cited first · page 2 of 3 · 101–200 · ← Aidan Clark

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  1. OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text DocumentsHugo Laurençon, Lucile Saulnier, Leo Tronchon, et al.2023 · 183 citations
  2. Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual EvaluationShivalika Singh, Angelika Romanou, Clémentine Fourrier, et al.2025 · 179 citations
  3. Knowledge Conflicts for LLMs: A SurveyRongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 179 citations
  4. Effective Long-Context Scaling of Foundation ModelsWenhan Xiong, Jingyu Liu, Igor Molybog, et al.2023 · 177 citations
  5. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 174 citations
  6. Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMsShengbang Tong, Ellis Brown, Penghao Wu, et al.2024 · 173 citations
  7. SmolLM2: When Smol Goes Big — Data-Centric Training of a Small Language ModelLoubna Ben Allal, Anton Lozhkov, Elie Bakouch, et al.2025 · 171 citations
  8. OpenChat: Advancing Open-source Language Models with Mixed-Quality DataGuan Wang, Sijie Cheng, Xianyuan Zhan, et al.2023 · 171 citations
  9. Learning to Compress Prompts with Gist TokensJesse Mu, Xiang Lisa Li, Noah Goodman2023 · 170 citations
  10. SqueezeLLM: Dense-and-Sparse QuantizationSehoon Kim, Coleman Hooper, Amir Gholami, et al.2023 · 168 citations
  11. ShortGPT: Layers in Large Language Models are More Redundant Than You ExpectXin Men, Mingyu Xu, Qingyu Zhang, et al.2024 · 167 citations
  12. Binding Language Models in Symbolic LanguagesZhoujun Cheng, Tianbao Xie, Peng Shi, et al.2022 · 165 citations
  13. Large Language Diffusion ModelsShen Nie, Fengqi Zhu, Zebin You, et al.2025 · 164 citations
  14. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyWeiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 159 citations
  15. GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation ModelsAohan Zeng, Xin Lv, Qinkai Zheng, et al.2025 · 157 citations
  16. DataComp-LM: In search of the next generation of training sets for language modelsJeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 156 citations
  17. The Lessons of Developing Process Reward Models in Mathematical ReasoningZhenru Zhang, Chujie Zheng, Yangzhen Wu, et al.2025 · 155 citations
  18. HunyuanVideo: A Systematic Framework For Large Video Generative ModelsWeijie Kong, Qi Tian, Zijian Zhang, et al.2024 · 155 citations
  19. Moshi: a speech-text foundation model for real-time dialogueAlexandre Defossez, Laurent Mazare, Manu Orsini, et al.2024 · 154 citations
  20. TheoremQA: A Theorem-driven Question Answering DatasetWenhu Chen, Ming Yin, Max Ku, et al.2023 · 154 citations
  21. Leveraging Large Language Models for Multiple Choice Question AnsweringJoshua Robinson, Christopher Michael Rytting, David Wingate2022 · 154 citations
  22. Locally Typical SamplingClara Meister, Tiago Pimentel, Gian Wiher, et al.2023 · 152 citations
  23. SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-trainingTianzhe Chu, Yuexiang Zhai, Jihan Yang, et al.2025 · 151 citations
  24. AnnoLLM: Making Large Language Models to Be Better Crowdsourced AnnotatorsXingwei He, Zhenghao Lin, Yeyun Gong, et al.2023 · 150 citations
  25. 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
  26. Process Reinforcement through Implicit RewardsGanqu Cui, Lifan Yuan, Zefan Wang, et al.2025 · 147 citations
  27. rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep ThinkingXinyu Guan, Li Lyna Zhang, Yifei Liu, et al.2025 · 146 citations
  28. Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAsMicrosoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al.2025 · 145 citations
  29. How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data CompositionGuanting Dong, Hongyi Yuan, Keming Lu, et al.2024 · 145 citations
  30. The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual DatasetHugo Laurençon, Lucile Saulnier, Thomas Wang, et al.2023 · 145 citations
  31. Is GPT-3 a Good Data Annotator?Bosheng Ding, Chengwei Qin, Linlin Liu, et al.2022 · 144 citations
  32. Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-StepLiunian Harold Li, Jack Hessel, Youngjae Yu, et al.2023 · 139 citations
  33. DeepInception: Hypnotize Large Language Model to Be JailbreakerXuan Li, Zhanke Zhou, Jianing Zhu, et al.2023 · 138 citations
  34. R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement LearningHuatong Song, Jinhao Jiang, Yingqian Min, et al.2025 · 137 citations
  35. Efficient Training of Language Models to Fill in the MiddleMohammad Bavarian, Heewoo Jun, Nikolas Tezak, et al.2022 · 137 citations
  36. Agent Laboratory: Using LLM Agents as Research AssistantsSamuel Schmidgall, Yusheng Su, Ze Wang, et al.2025 · 136 citations
  37. Understanding the Effects of RLHF on LLM Generalisation and DiversityRobert Kirk, Ishita Mediratta, Christoforos Nalmpantis, et al.2023 · 131 citations
  38. Improving Language Model Negotiation with Self-Play and In-Context Learning from AI FeedbackYao Fu, Hao Peng, Tushar Khot, et al.2023 · 129 citations
  39. Deductive Verification of Chain-of-Thought ReasoningZhan Ling, Yunhao Fang, Xuanlin Li, et al.2023 · 128 citations
  40. Large Language Model Alignment: A SurveyTianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 123 citations
  41. Mem0: Building Production-Ready AI Agents with Scalable Long-Term MemoryPrateek Chhikara, Dev Khant, Saket Aryan, et al.2025 · 122 citations
  42. The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree SearchYutaro Yamada, Robert Tjarko Lange, Cong Lu, et al.2025 · 121 citations
  43. DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal DecompositionZ. Z. Ren, Zhihong Shao, Junxiao Song, et al.2025 · 120 citations
  44. L1: Controlling How Long A Reasoning Model Thinks With Reinforcement LearningPranjal Aggarwal, Sean Welleck2025 · 119 citations
  45. DeepSeek-V4: Towards Highly Efficient Million-Token Context IntelligenceDeepSeek-AI, Anyi Xu, Bangcai Lin, et al.2026 · 117 citations
  46. ProcessBench: Identifying Process Errors in Mathematical ReasoningChujie Zheng, Zhenru Zhang, Beichen Zhang, et al.2025 · 116 citations
  47. HealthBench: Evaluating Large Language Models Towards Improved Human HealthRahul K. Arora, Jason Wei, Rebecca Soskin Hicks, et al.2025 · 115 citations
  48. 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
  49. ALLaM: Large Language Models for Arabic and EnglishM Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al.2024 · 113 citations
  50. Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRsKanishk Gandhi, Ayush Chakravarthy, Anikait Singh, et al.2025 · 110 citations
  51. Olmo 3Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 109 citations
  52. Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-VerificationAojun Zhou, Ke Wang, Zimu Lu, et al.2023 · 109 citations
  53. DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world EnvironmentsYuxiang Zheng, Dayuan Fu, Xiangkun Hu, et al.2025 · 108 citations
  54. Data Engineering for Scaling Language Models to 128K ContextYao Fu, Rameswar Panda, Xinyao Niu, et al.2024 · 107 citations
  55. TokenSkip: Controllable Chain-of-Thought Compression in LLMsHeming Xia, Chak Tou Leong, Wenjie Wang, et al.2025 · 105 citations
  56. Tokenizer Choice For LLM Training: Negligible or Crucial?Mehdi Ali, Michael Fromm, Klaudia Thellmann, et al.2024 · 102 citations
  57. UI-TARS: Pioneering Automated GUI Interaction with Native AgentsYujia Qin, Yining Ye, Junjie Fang, et al.2025 · 101 citations
  58. Inverse Scaling: When Bigger Isn't BetterIan R. McKenzie, Alexander Lyzhov, Michael Pieler, et al.2023 · 99 citations
  59. SemDeDup: Data-efficient learning at web-scale through semantic deduplicationAmro Abbas, Kushal Tirumala, Dániel Simig, et al.2023 · 94 citations
  60. Skywork: A More Open Bilingual Foundation ModelTianwen Wei, Liang Zhao, Lichang Zhang, et al.2023 · 91 citations
  61. Language Modeling Is CompressionGregoire Deletang, Anian Ruoss, Paul-Ambroise Duquenne, et al.2023 · 89 citations
  62. D4: Improving LLM Pretraining via Document De-Duplication and DiversificationKushal Tirumala, Daniel Simig, Armen Aghajanyan, et al.2023 · 79 citations
  63. Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?Yi Tay, Mostafa Dehghani, Samira Abnar, et al.2023 · 79 citations
  64. Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in ChinchillaTom Lieberum, Matthew Rahtz, Janos Kramar, et al.2023 · 51 citations
  65. Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling LawsNikhil Sardana, Jacob Portes, Sasha Doubov, et al.2024 · 47 citations
  66. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesChaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 42 citations
  67. Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time ScalingRunze Liu, Junqi Gao, Jian Zhao, et al.2025 · 41 citations
  68. Transcending Scaling Laws with 0.1% Extra ComputeYi Tay, Jason Wei, Hyung Won Chung, et al.2022 · 40 citations
  69. Scaling Laws for Generative Mixed-Modal Language ModelsArmen Aghajanyan, Lili Yu, Alexis Conneau, et al.2023 · 39 citations
  70. SemEval-2025 Task 1: AdMIRe - Advancing Multimodal Idiomaticity RepresentationThomas Pickard, Aline Villavicencio, Maggie Mi, et al.2025 · 30 citations
  71. Observational Scaling Laws and the Predictability of Language Model PerformanceYangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 28 citations
  72. Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT ModelsZaid Alyafeai, Maged S. Alshaibani, Badr AlKhamissi, et al.2023 · 25 citations
  73. Scaling Laws and Compute-Optimal Training Beyond Fixed Training DurationsAlexander Hägele, Elie Bakouch, Atli Kosson, et al.2024 · 24 citations
  74. Distillation Scaling LawsDan Busbridge, Amitis Shidani, Floris Weers, et al.2025 · 23 citations
  75. The Moral Foundations Reddit CorpusJackson P. Trager, Alireza S. Ziabari, Elnaz Rahmati, et al.2026 · 22 citations
  76. Do Large Language Models Understand Word Senses?Domenico Meconi, Simone Stirpe, Federico Martelli2025 · 18 citations
  77. New Trends for Modern Machine Translation with Large Reasoning ModelsSinuo Liu, Chenyang Lyu, Minghao Wu, et al.2026 · 16 citations
  78. METAL: A Multi-Agent Framework for Chart Generation with Test-Time ScalingBingxuan Li, Yiwei Wang, Jiuxiang Gu, et al.2025 · 15 citations
  79. Jais 2: A Family of Arabic-Centric Open Large Language ModelsMohamed Anwar, Abed Alhakim Freihat, George Ibrahim, et al.2026 · 14 citations
  80. TigerCoder: A Novel Suite of LLMs for Code Generation in BanglaNishat Raihan, Antonios Anastasopoulos, Marcos Zampieri2026 · 13 citations
  81. When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM ReasoningNishad Singhi, Hritik Bansal, Arian Hosseini, et al.2025 · 12 citations
  82. Chinchilla Scaling: A replication attemptTamay Besiroglu, Ege Erdil, Matthew Barnett, et al.2024 · 12 citations
  83. GrammaMT: Improving Machine Translation with Grammar-Informed In-Context LearningRita Ramos, Everlyn Asiko Chimoto, Maartje Ter Hoeve, et al.2025 · 11 citations
  84. Multilingual Sequence-to-Sequence Models for Hebrew NLPMatan Eyal, Hila Noga, Roee Aharoni, et al.2023 · 9 citations
  85. Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language UnderstandingAbbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.2022 · 9 citations
  86. Sacred or Synthetic? Evaluating LLM Reliability and Abstention for Religious QuestionsFarah Atif, Nursultan Askarbekuly, Kareem Darwish, et al.2025 · 8 citations
  87. FAME: Fictional Actors for Multilingual ErasureClaudio Savelli, Moreno La Quatra, Alkis Koudounas, et al.2026 · 7 citations
  88. Towards more Human-like Language Models based on Contextualizer Pretraining StrategyChenghao Xiao, G Thomas Hudson, Noura Al Moubayed2023 · 7 citations
  89. Beyond Literal Mapping: Benchmarking and Improving Non-Literal Translation EvaluationYanzhi Tian, Cunxiang Wang, Zeming Liu, et al.2026 · 5 citations
  90. Mechanisms vs. Outcomes: Probing for Syntax Fails to Explain Performance on Targeted Syntactic EvaluationsAnanth Agarwal, Jasper Jian, Christopher D Manning, et al.2025 · 4 citations
  91. ARB: A Comprehensive Arabic Multimodal Reasoning BenchmarkSara Ghaboura, Shubham Patle, Ketan More, et al.2026 · 3 citations
  92. Do Diacritics Matter? Evaluating the Impact of Arabic Diacritics on Tokenization and LLM BenchmarksGo Inoue, Bashar Alhafni, Nizar Habash, et al.2026 · 3 citations
  93. Scaling Laws for Code: A More Data-Hungry RegimeXianzhen Luo, Wenzhen Zheng, Qingfu Zhu, et al.2026 · 3 citations
  94. A Multi-Task Benchmark for Abusive Language Detection in Low-Resource SettingsFitsum Gaim, Hoyun Song, Huije Lee, et al.2025 · 3 citations
  95. Baseer: A Vision-Language Model for Arabic Document-to-Markdown OCRKhalil Hennara, Muhammad Hreden, Mohamed Motasim Hamed, et al.2025 · 3 citations
  96. A Critical Study of Automatic Evaluation in Sign Language TranslationShakib Yazdani, Yasser HAMIDULLAH, Cristina España-Bonet, et al.2026 · 2 citations
  97. Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMsShaltiel Shmidman, Avi Shmidman, Amir DN Cohen, et al.2026 · 2 citations
  98. Prompting Instruction-tuned LLMs for Semantic Similarity ValuesXander Akiko Snelder, Yunchong Huang, Jelke Bloem2026 · 2 citations
  99. When Flores Bloomz Wrong: Cross-Direction Contamination in Machine Translation EvaluationDavid Tan, Pinzhen Chen, Josef van Genabith, et al.2026 · 2 citations
  100. Who Watches the Watchmen? Humans Disagree With Translation Metrics on Unseen DomainsFinn Schmidt, Jan Philip Wahle, Terry Ruas, et al.2026 · 2 citations

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