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Who cites Anirudh Goyal

10,174 citations of their works from 9,544 papers of our library (of the 149,439 whose bibliographies we read) · 2,309 with a page here, the most cited first · page 2 of 24 · 101–200 · ← Anirudh Goyal

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  1. 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
  2. Long-form factuality in large language modelsConference on Neural Information Processing Systems (NeurIPS)Jerry Wei, Chengrun Yang, Xinying Song, et al.2024 · 165 citations
  3. CRISPR-GPT for Agentic Automation of Gene-editing ExperimentsarXiv:2404.18021Yuanhao Qu, Kaixuan Huang, Ming Yin, et al.2024 · 163 citations
  4. Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language ModelsarXiv:2410.07985Bofei Gao, Feifan Song, Zhe Yang, et al.2024 · 163 citations
  5. 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
  6. SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-trainingarXiv:2501.17161Tianzhe Chu, Yuexiang Zhai, Jihan Yang, et al.2025 · 160 citations
  7. 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
  8. Chameleon: Mixed-Modal Early-Fusion Foundation ModelsarXiv:2405.09818Chameleon Team2024 · 159 citations
  9. Stop Overthinking: A Survey on Efficient Reasoning for Large Language ModelsarXiv:2503.16419Yang Sui, Yu-Neng Chuang, Guanchu Wang, et al.2025 · 157 citations
  10. Moshi: a speech-text foundation model for real-time dialoguearXiv:2410.00037Alexandre Defossez, Laurent Mazare, Manu Orsini, et al.2024 · 157 citations
  11. SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the WildarXiv:2503.18892Weihao Zeng, Yuzhen Huang, Qian Liu, et al.2025 · 154 citations
  12. Scientific Large Language Models: A Survey on Biological & Chemical DomainsACM Computing SurveysQiang Zhang, Keyang Ding, Tianwen Lyv, et al.2024 · 154 citations
  13. Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM ReasoningConference on Neural Information Processing Systems (NeurIPS)Shenzhi Wang, Le Yu, Chang Gao, et al.2025 · 152 citations
  14. 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
  15. 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
  16. Generative Verifiers: Reward Modeling as Next-Token PredictionarXiv:2408.15240Lunjun Zhang, Arian Hosseini, Hritik Bansal, et al.2024 · 152 citations
  17. Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer LearningFindings of the Association for Computational LinguisticsZhaojiang Lin, Andrea Madotto, Pascale Fung2020 · 152 citations
  18. Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with NothingarXiv:2406.08464Zhangchen Xu, Fengqing Jiang, Luyao Niu, et al.2024 · 148 citations
  19. 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
  20. GPT-4V(ision) is a Generalist Web Agent, if GroundedarXiv:2401.01614Boyuan Zheng, Boyu Gou, Jihyung Kil, et al.2024 · 146 citations
  21. Many-Shot In-Context LearningConference on Neural Information Processing Systems (NeurIPS)Rishabh Agarwal, Avi Singh, Lei M. Zhang, et al.2024 · 142 citations
  22. PaliGemma: A versatile 3B VLM for transferarXiv:2407.07726Lucas Beyer, Andreas Steiner, Andre Susano Pinto, et al.2024 · 142 citations
  23. MLVU: Benchmarking Multi-task Long Video UnderstandingIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJunjie Zhou, Yan Shu, Bo Zhao, et al.2024 · 140 citations
  24. Agent Laboratory: Using LLM Agents as Research AssistantsarXiv:2501.04227Samuel Schmidgall, Yusheng Su, Ze Wang, et al.2025 · 139 citations
  25. Long-context LLMs Struggle with Long In-context LearningarXiv:2404.02060Tianle Li, Ge Zhang, Quy Duc Do, et al.2024 · 138 citations
  26. To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoningarXiv:2409.12183Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez, et al.2024 · 138 citations
  27. InFoBench: Evaluating Instruction Following Ability in Large Language ModelsFindings of the Association for Computational LinguisticsYiwei Qin, Kaiqiang Song, Yebowen Hu, et al.2024 · 136 citations
  28. Token-Budget-Aware LLM ReasoningarXiv:2412.18547Tingxu Han, Zhenting Wang, Chunrong Fang, et al.2024 · 136 citations
  29. LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context MultitasksarXiv:2412.15204Yushi Bai, Shangqing Tu, Jiajie Zhang, et al.2024 · 135 citations
  30. Humans or LLMs as the Judge? A Study on Judgement BiasConference on Empirical Methods in Natural Language Processing (EMNLP)Guiming Hardy Chen, Shunian Chen, Ziche Liu, et al.2024 · 133 citations
  31. The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Hannah Rose Kirk, Alexander Whitefield, Paul Rottger, et al.2024 · 133 citations
  32. Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 130 citations
  33. Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Lei Li, Yuqi Wang, Runxin Xu, et al.2024 · 129 citations
  34. OpenCodeInterpreter: Integrating Code Generation with Execution and RefinementFindings of the Association for Computational LinguisticsTianyu Zheng, Ge Zhang, Tianhao Shen, et al.2024 · 129 citations
  35. Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base ModelConference on Neural Information Processing Systems (NeurIPS)Jingcheng Hu, Yinmin Zhang, Qi Han, et al.2025 · 128 citations
  36. Fanar: An Arabic-Centric Multimodal Generative AI PlatformarXiv:2501.13944Fanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, et al.2025 · 127 citations
  37. LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal ModelsarXiv:2407.07895Feng Li, Renrui Zhang, Hao Zhang, et al.2024 · 127 citations
  38. SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Zhangchen Xu, Fengqing Jiang, Luyao Niu, et al.2024 · 127 citations
  39. Chain of Hindsight Aligns Language Models with FeedbackarXiv:2302.02676Hao Liu, Carmelo Sferrazza, Pieter Abbeel2023 · 126 citations
  40. TravelPlanner: A Benchmark for Real-World Planning with Language AgentsarXiv:2402.01622Jian Xie, Kai Zhang, Jiangjie Chen, et al.2024 · 125 citations
  41. Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRsarXiv:2503.01307Kanishk Gandhi, Ayush Chakravarthy, Anikait Singh, et al.2025 · 123 citations
  42. Mini-Gemini: Mining the Potential of Multi-modality Vision Language ModelsIEEE Transactions on Pattern Analysis and Machine IntelligenceYanwei Li, Yuechen Zhang, Chengyao Wang, et al.2024 · 123 citations
  43. MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding BenchmarkarXiv:2409.02813Xiang Yue, Tianyu Zheng, Yuansheng Ni, et al.2024 · 123 citations
  44. OpenThoughts: Data Recipes for Reasoning ModelsarXiv:2506.04178Etash Guha, Ryan Marten, Sedrick Keh, et al.2025 · 122 citations
  45. Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language ModelsarXiv:2408.00724Yangzhen Wu, Zhiqing Sun, Shanda Li, et al.2024 · 122 citations
  46. High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural MetricsTransactions of the Association for Computational Linguistics (TACL)Markus Freitag, David Grangier, Qijun Tan, et al.2022 · 121 citations
  47. Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language ModelsarXiv:2501.09686Fengli Xu, Qianyue Hao, Zefang Zong, et al.2025 · 120 citations
  48. AlphaMath Almost Zero: Process Supervision without ProcessConference on Neural Information Processing Systems (NeurIPS)Guoxin Chen, Minpeng Liao, Chengxi Li, et al.2024 · 120 citations
  49. Hallucination of Multimodal Large Language Models: A SurveyarXiv:2404.18930Zechen Bai, Pichao Wang, Tianjun Xiao, et al.2024 · 120 citations
  50. Best Practices and Lessons Learned on Synthetic DataarXiv:2404.07503Ruibo Liu, Jerry Wei, Fangyu Liu, et al.2024 · 119 citations
  51. CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMsConference on Neural Information Processing Systems (NeurIPS)Zirui Wang, Mengzhou Xia, Luxi He, et al.2024 · 119 citations
  52. LLaVA-Video: Video Instruction Tuning With Synthetic DataarXiv:2410.02713Yuanhan Zhang, Jinming Wu, Wei Li, et al.2024 · 119 citations
  53. SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language ModelsFindings of the Association for Computational LinguisticsLijun Li, Bowen Dong, Ruohui Wang, et al.2024 · 119 citations
  54. Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive AttacksarXiv:2404.02151Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion2024 · 118 citations
  55. VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMsarXiv:2406.07476Zesen Cheng, Sicong Leng, Hang Zhang, et al.2024 · 118 citations
  56. Qwen3-Omni Technical ReportarXiv:2509.17765Jin Xu, Zhifang Guo, Hangrui Hu, et al.2025 · 117 citations
  57. Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought ReasoningConference on Neural Information Processing Systems (NeurIPS)Hao Shao, Shengju Qian, Han Xiao, et al.2024 · 117 citations
  58. ProcessBench: Identifying Process Errors in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Chujie Zheng, Zhenru Zhang, Beichen Zhang, et al.2025 · 116 citations
  59. Mixture-of-Agents Enhances Large Language Model CapabilitiesarXiv:2406.04692Junlin Wang, Jue Wang, Ben Athiwaratkun, et al.2024 · 116 citations
  60. LMMs-Eval: Reality Check on the Evaluation of Large Multimodal ModelsFindings of the Association for Computational LinguisticsKaichen Zhang, Bo Li, Peiyuan Zhang, et al.2025 · 115 citations
  61. Deliberative Alignment: Reasoning Enables Safer Language ModelsSuperIntelligence - Robotics - Safety & AlignmentMelody Y. Guan, Manas Joglekar, Eric Wallace, et al.2024 · 115 citations
  62. From Persona to Personalization: A Survey on Role-Playing Language AgentsarXiv:2404.18231Jiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 115 citations
  63. Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2arXiv:2408.05147Tom Lieberum, Senthooran Rajamanoharan, Arthur Conmy, et al.2024 · 115 citations
  64. Break the Sequential Dependency of LLM Inference Using Lookahead DecodingarXiv:2402.02057Yichao Fu, Peter Bailis, Ion Stoica, et al.2024 · 114 citations
  65. DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming HeadsarXiv:2410.10819Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, et al.2024 · 114 citations
  66. ALLaM: Large Language Models for Arabic and EnglisharXiv:2407.15390M Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al.2024 · 113 citations
  67. Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model ScalingarXiv:2501.17811Xiaokang Chen, Zhiyu Wu, Xingchao Liu, et al.2025 · 112 citations
  68. Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and GenerationIEEE Computer Society Conference on Computer Vision and Pattern RecognitionChengyue Wu, Xiaokang Chen, Zhiyu Wu, et al.2024 · 112 citations
  69. Skywork-Reward: Bag of Tricks for Reward Modeling in LLMsarXiv:2410.18451Chris Yuhao Liu, Liang Zeng, Jiacai Liu, et al.2024 · 112 citations
  70. Orca-Math: Unlocking the potential of SLMs in Grade School MatharXiv:2402.14830Arindam Mitra, Hamed Khanpour, Corby Rosset, et al.2024 · 111 citations
  71. ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language ModelsarXiv:2404.07738Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, et al.2024 · 111 citations
  72. RLHF Workflow: From Reward Modeling to Online RLHFarXiv:2405.07863Hanze Dong, Wei Xiong, Bo Pang, et al.2024 · 111 citations
  73. Efficient Large Language Models: A SurveyarXiv:2312.03863Zhongwei Wan, Xin Wang, Che Liu, et al.2023 · 110 citations
  74. Pixtral 12BarXiv:2410.07073Pravesh Agrawal, Szymon Antoniak, Emma Bou Hanna, et al.2024 · 107 citations
  75. Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?Annual Meeting of the Association for Computational Linguistics (ACL)Qineng Wang, Zihao Wang, Ying Su, et al.2024 · 107 citations
  76. TokenSkip: Controllable Chain-of-Thought Compression in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Heming Xia, Chak Tou Leong, Wenjie Wang, et al.2025 · 106 citations
  77. Multi-Step Reasoning with Large Language Models, a SurveyACM Computing SurveysAske Plaat, Annie Wong, Suzan Verberne, et al.2024 · 106 citations
  78. A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and RecommendationsConference on Empirical Methods in Natural Language Processing (EMNLP)Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, et al.2024 · 105 citations
  79. Cost-Efficient Large Language Model Serving for Multi-turn Conversations with CachedAttentionUSENIX ATC 2024Bin Gao, Zhuomin He, Puru Sharma, et al.2024 · 105 citations
  80. Disentangling Length from Quality in Direct Preference OptimizationFindings of the Association for Computational LinguisticsRyan Park, Rafael Rafailov, Stefano Ermon, et al.2024 · 105 citations
  81. REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage NormalizationarXiv:2501.03262Jian Hu, Jason Klein Liu, Haotian Xu, et al.2025 · 104 citations
  82. The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem ComplexityConference on Neural Information Processing Systems (NeurIPS)Parshin Shojaee, Iman Mirzadeh, Keivan Alizadeh, et al.2025 · 104 citations
  83. Chain of Agents: Large Language Models Collaborating on Long-Context TasksConference on Neural Information Processing Systems (NeurIPS)Yusen Zhang, Ruoxi Sun, Yanfei Chen, et al.2024 · 104 citations
  84. Qwen2.5-1M Technical ReportarXiv:2501.15383An Yang, Bowen Yu, Chengyuan Li, et al.2025 · 102 citations
  85. How do Large Language Models Handle Multilingualism?Conference on Neural Information Processing Systems (NeurIPS)Yiran Zhao, Wenxuan Zhang, Guizhen Chen, et al.2024 · 102 citations
  86. The Entropy Mechanism of Reinforcement Learning for Reasoning Language ModelsarXiv:2505.22617Ganqu Cui, Yuchen Zhang, Jiacheng Chen, et al.2025 · 101 citations
  87. A Careful Examination of Large Language Model Performance on Grade School ArithmeticConference on Neural Information Processing Systems (NeurIPS)Hugh Zhang, Jeff Da, Dean Lee, et al.2024 · 101 citations
  88. Debating with More Persuasive LLMs Leads to More Truthful AnswersarXiv:2402.06782Akbir Khan, John Hughes, Dan Valentine, et al.2024 · 101 citations
  89. JudgeBench: A Benchmark for Evaluating LLM-based JudgesarXiv:2410.12784Sijun Tan, Siyuan Zhuang, Kyle Montgomery, et al.2024 · 101 citations
  90. FineWeb2: One Pipeline to Scale Them All — Adapting Pre-Training Data Processing to Every LanguagearXiv:2506.20920Guilherme Penedo, Hynek Kydliček, Vinko Sabolčec, et al.2025 · 99 citations
  91. World Model on Million-Length Video And Language With Blockwise RingAttentionarXiv:2402.08268Hao Liu, Wilson Yan, Matei Zaharia, et al.2024 · 99 citations
  92. Chain of Draft: Thinking Faster by Writing LessarXiv:2502.18600Silei Xu, Wenhao Xie, Lingxiao Zhao, et al.2025 · 98 citations
  93. Safety Alignment Should Be Made More Than Just a Few Tokens DeeparXiv:2406.05946Xiangyu Qi, Ashwinee Panda, Kaifeng Lyu, et al.2024 · 97 citations
  94. MAmmoTH2: Scaling Instructions from the WebConference on Neural Information Processing Systems (NeurIPS)Xiang Yue, Tuney Zheng, Ge Zhang, et al.2024 · 96 citations
  95. The Platonic Representation HypothesisarXiv:2405.07987Minyoung Huh, Brian Cheung, Tongzhou Wang, et al.2024 · 96 citations
  96. Multi-Agent Collaboration Mechanisms: A Survey of LLMsarXiv:2501.06322Khanh-Tung Tran, Dung Dao, Minh-Duong Nguyen, et al.2025 · 95 citations
  97. LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive MemoryarXiv:2410.10813Di Wu, Hongwei Wang, Wenhao Yu, et al.2024 · 95 citations
  98. MinerU: An Open-Source Solution for Precise Document Content ExtractionarXiv:2409.18839Bin Wang, Chao Xu, Xiaomeng Zhao, et al.2024 · 95 citations
  99. ToolRL: Reward is All Tool Learning NeedsarXiv:2504.13958Cheng Qian, Emre Can Acikgoz, Qi He, et al.2025 · 94 citations
  100. InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large ModelarXiv:2401.16420Xiaoyi Dong, Pan Zhang, Yuhang Zang, et al.2024 · 94 citations

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