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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 5 of 24 · 401–500 · ← Anirudh Goyal

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  1. MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at ScaleAnnual Meeting of the Association for Computational Linguistics (ACL)Jiawei Guo, Tianyu Zheng, Yizhi Li, et al.2025 · 40 citations
  2. Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent SystemAnnual Meeting of the Association for Computational Linguistics (ACL)Haoyang Su, Renqi Chen, Shixiang Tang, et al.2025 · 40 citations
  3. Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?Conference on Empirical Methods in Natural Language Processing (EMNLP)Gal Yona, Roee Aharoni, Mor Geva2024 · 40 citations
  4. Observational Scaling Laws and the Predictability of Language Model PerformancearXiv:2405.10938Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 40 citations
  5. From Automation to Autonomy: A Survey on Large Language Models in Scientific DiscoveryConference on Empirical Methods in Natural Language Processing (EMNLP)Tianshi Zheng, Zheye Deng, Hong Ting Tsang, et al.2025 · 39 citations
  6. NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning ModelarXiv:2508.14444NVIDIA: Aarti Basant, Abhijit Khairnar, Abhijit Paithankar, et al.2025 · 39 citations
  7. InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and OutputarXiv:2407.03320Pan Zhang, Xiaoyi Dong, Yuhang Zang, et al.2024 · 39 citations
  8. Lean Copilot: Large Language Models as Copilots for Theorem Proving in LeanarXiv:2404.12534Peiyang Song, Kaiyu Yang, Anima Anandkumar2024 · 39 citations
  9. The pitfalls of next-token predictionarXiv:2403.06963Gregor Bachmann, Vaishnavh Nagarajan2024 · 39 citations
  10. Aligning Language Models with Preferences through f-divergence MinimizationarXiv:2302.08215Dongyoung Go, Tomasz Korbak, German Kruszewski, et al.2023 · 39 citations
  11. Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer ModelsarXiv:2504.03624NVIDIA: Aaron Blakeman, Aarti Basant, Abhinav Khattar, et al.2025 · 38 citations
  12. Training LLM-Based Tutors to Improve Student Learning Outcomes in DialoguesLecture notes in computer scienceAlexander Scarlatos, Naiming Liu, Jaewook Lee, et al.2025 · 38 citations
  13. ODIN: Disentangled Reward Mitigates Hacking in RLHFarXiv:2402.07319Lichang Chen, Chen Zhu, Davit Soselia, et al.2024 · 38 citations
  14. AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward ModelingFindings of the Association for Computational LinguisticsZihan Liu, Yang Chen, Mohammad Shoeybi, et al.2025 · 37 citations
  15. CheckEval: A reliable LLM-as-a-Judge framework for evaluating text generation using checklistsConference on Empirical Methods in Natural Language Processing (EMNLP)Yukyung Lee, JoongHoon Kim, Jaehee Kim, et al.2025 · 37 citations
  16. Checklists Are Better Than Reward Models For Aligning Language ModelsConference on Neural Information Processing Systems (NeurIPS)Vijay Viswanathan, Yanchao Sun, Shuang Ma, et al.2025 · 37 citations
  17. CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo RatingsarXiv:2501.01257Shanghaoran Quan, Jiaxi Yang, Bowen Yu, et al.2025 · 37 citations
  18. Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End EngineeringConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chenglei Si, Yanzhe Zhang, Ryan Li, et al.2025 · 37 citations
  19. MiMo: Unlocking the Reasoning Potential of Language Model — From Pretraining to PosttrainingarXiv:2505.07608LLM-Core Xiaomi, Bingquan Xia, Bowen Shen, et al.2025 · 37 citations
  20. On-Policy Context Distillation for Language ModelsarXiv:2602.12275Tianzhu Ye, Li Dong, Xun Wu, et al.2026 · 36 citations
  21. APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human InterplayConference on Neural Information Processing Systems (NeurIPS)Akshara Prabhakar, Zuxin Liu, Ming Zhu, et al.2025 · 36 citations
  22. Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?International Conference on Computational Linguistics (COLING)Mingyu Jin, Qinkai Yu, Jingyuan Huang, et al.2025 · 36 citations
  23. KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for CodingFindings of the Association for Computational LinguisticsZhangchen Xu, Yang Liu, Yueqin Yin, et al.2025 · 36 citations
  24. Evaluating Frontier Models for Dangerous CapabilitiesarXiv:2403.13793Mary Phuong, Matthew Aitchison, Elliot Catt, et al.2024 · 36 citations
  25. Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language ModelsarXiv:2407.07263Jupinder Parmar, Sanjev Satheesh, Mostofa Patwary, et al.2024 · 36 citations
  26. SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language ModelsarXiv:2406.09098Kehua Feng, Xinyi Shen, Weijie Wang, et al.2024 · 36 citations
  27. The Surprising Effectiveness of Test-Time Training for Few-Shot LearningarXiv:2411.07279Ekin Akyürek, Mehul Damani, Adam Zweiger, et al.2024 · 36 citations
  28. AbstentionBench: Reasoning LLMs Fail on Unanswerable QuestionsConference on Neural Information Processing Systems (NeurIPS)Polina Kirichenko, Mark Ibrahim, Kamalika Chaudhuri, et al.2025 · 35 citations
  29. Direct Judgement Preference OptimizationConference on Empirical Methods in Natural Language Processing (EMNLP)PeiFeng Wang, Austin Xu, Yilun Zhou, et al.2025 · 35 citations
  30. MasRouter: Learning to Route LLMs for Multi-Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Yanwei Yue, Guibin Zhang, Boyang Liu, et al.2025 · 35 citations
  31. Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer ReviewarXiv:2412.01708Rui Ye, Xianghe Pang, Jingyi Chai, et al.2024 · 35 citations
  32. Functional Benchmarks for Robust Evaluation of Reasoning Performance, and the Reasoning GaparXiv:2402.19450Saurabh Srivastava, Annarose M B, Anto P, et al.2024 · 35 citations
  33. On the Diversity of Synthetic Data and its Impact on Training Large Language ModelsarXiv:2410.15226Hao Chen, Abdul Waheed, Xiang Li, et al.2024 · 35 citations
  34. Echo Chamber: RL Post-training Amplifies Behaviors Learned in PretrainingarXiv:2504.07912Rosie Zhao, Alexandru Meterez, Sham Kakade, et al.2025 · 34 citations
  35. EuroBERT: Scaling Multilingual Encoders for European LanguagesarXiv:2503.05500Nicolas Boizard, Hippolyte Gisserot-Boukhlef, Duarte M. Alves, et al.2025 · 34 citations
  36. Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language ModelsarXiv:2411.07140Yancheng He, Shilong Li, Jiaheng Liu, et al.2024 · 34 citations
  37. OpenCodeReasoning: Advancing Data Distillation for Competitive CodingarXiv:2504.01943Wasi Uddin Ahmad, Sean Narenthiran, Somshubra Majumdar, et al.2025 · 33 citations
  38. Qwen3Guard Technical ReportarXiv:2510.14276Haiquan Zhao, Chenhan Yuan, Fei Huang, et al.2025 · 33 citations
  39. Unveiling Privacy Risks in LLM Agent MemoryAnnual Meeting of the Association for Computational Linguistics (ACL)Bo Wang, Weiyi He, Shenglai Zeng, et al.2025 · 33 citations
  40. AgentGym: Evolving Large Language Model-based Agents across Diverse EnvironmentsarXiv:2406.04151Zhiheng Xi, Yiwen Ding, Wenxiang Chen, et al.2024 · 33 citations
  41. SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model SafetyarXiv:2404.05399Paul Rottger, Fabio Pernisi, Bertie Vidgen, et al.2024 · 33 citations
  42. Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning PerspectivearXiv:2412.14135Zhiyuan Zeng, Qinyuan Cheng, Zhangyue Yin, et al.2024 · 33 citations
  43. 500xCompressor: Generalized Prompt Compression for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zongqian Li, Yixuan Su, Nigel Collier2025 · 32 citations
  44. ACECODER: Acing Coder RL via Automated Test-Case SynthesisAnnual Meeting of the Association for Computational Linguistics (ACL)Huaye Zeng, Dongfu Jiang, Haozhe Wang, et al.2025 · 32 citations
  45. Benchmarking Linguistic Diversity of Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Yanzhu Guo, Guokan Shang, Chloé Clavel2025 · 32 citations
  46. Evaluating Language Models as Synthetic Data GeneratorsAnnual Meeting of the Association for Computational Linguistics (ACL)Seungone Kim, Juyoung Suk, Xiang Yue, et al.2025 · 32 citations
  47. The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form InputarXiv:2501.03200Alon Jacovi, Andrew Wang, Chris Alberti, et al.2025 · 32 citations
  48. TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked TextConference on Empirical Methods in Natural Language Processing (EMNLP)Songshuo Lu, Hua Wang, Yutian Rong, et al.2025 · 32 citations
  49. VLSBench: Unveiling Visual Leakage in Multimodal SafetyAnnual Meeting of the Association for Computational Linguistics (ACL)Xuhao Hu, Dongrui Liu, Hao Li, et al.2025 · 32 citations
  50. ChartGemma: Visual Instruction-tuning for Chart Reasoning in the WildarXiv:2407.04172Ahmed Masry, Megh Thakkar, Aayush Bajaj, et al.2024 · 32 citations
  51. Derivational Morphology Reveals Analogical Generalization in Large Language ModelsProceedings of the National Academy of SciencesValentin Hofmann, Leonie Weissweiler, David Mortensen, et al.2024 · 32 citations
  52. Detection and Measurement of Syntactic Templates in Generated TextConference on Empirical Methods in Natural Language Processing (EMNLP)Chantal Shaib, Yanai Elazar, Junyi Jessy Li, et al.2024 · 32 citations
  53. SelfCodeAlign: Self-Alignment for Code GenerationConference on Neural Information Processing Systems (NeurIPS)Yuxiang Wei, Federico Cassano, Jiawei Liu, et al.2024 · 32 citations
  54. LiPO: Listwise Preference Optimization through Learning-to-RankConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Tianqi Liu, Zhen Qin, Junru Wu, et al.2025 · 31 citations
  55. Step-Audio 2 Technical ReportarXiv:2507.16632Boyong Wu, Chao Yan, Chen Hu, et al.2025 · 31 citations
  56. A Survey of Small Language ModelsarXiv:2410.20011Chien Van Nguyen, Xuan Shen, Ryan Aponte, et al.2024 · 31 citations
  57. Scaling Laws and Compute-Optimal Training Beyond Fixed Training DurationsConference on Neural Information Processing Systems (NeurIPS)Alexander Hägele, Elie Bakouch, Atli Kosson, et al.2024 · 31 citations
  58. Weaver: Foundation Models for Creative WritingarXiv:2401.17268Tiannan Wang; Jiamin Chen; Qingrui Jia; Shuai Wang; Ruoyu Fang; Huilin Wang; Zhaowei Gao; Chunzhao Xie; Chuou Xu; Jihong Dai; Yibin Liu; Jialong Wu; Shengwei Ding; Long Li; Zhiwei Huang; Xinle Deng; Teng Yu; Gangan Ma; Han Xiao; Zixin Chen; Danjun Xiang; Yunxia Wang; Yuanyuan Zhu; Yi Xiao; Jing Wang; Yiru Wang; Siran Ding; Jiayang Huang; Jiayi Xu; Yilihamu Tayier; Zhenyu Hu; Yuan Gao; Chengfeng Zheng; Yueshu Ye; Yihang Li; Lei Wan; Xinyue Jiang; Yujie Wang; Siyu Cheng; Zhule Song; Xiangru Tang; Xiaohua Xu; Ningyu Zhang; Huajun Chen; Yuchen Eleanor Jiang;, Wangchunshu Zhou2024 · 31 citations
  59. AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement LearningConference on Neural Information Processing Systems (NeurIPS)Yang Chen, Zhuolin Yang, Zihan Liu, et al.2025 · 30 citations
  60. Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?Annual Meeting of the Association for Computational Linguistics (ACL)Yancheng He, Shilong Li, Jiaheng Liu, et al.2025 · 30 citations
  61. CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic EnvironmentsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kung-Hsiang Huang, Akshara Prabhakar, Sidharth Dhawan, et al.2025 · 30 citations
  62. G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Shilong Wang, Guibin Zhang, Miao Yu, et al.2025 · 30 citations
  63. PPTAgent: Generating and Evaluating Presentations Beyond Text-to-SlidesConference on Empirical Methods in Natural Language Processing (EMNLP)Hao Zheng, Xinyan Guan, Hao Kong, et al.2025 · 30 citations
  64. The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1International Joint Conference on Natural Language Processing (IJCNLP)Kaiwen Zhou, Chengzhi Liu, Xuandong Zhao, et al.2025 · 30 citations
  65. Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanchi Zhang, Yile Wang, Zijun Liu, et al.2024 · 30 citations
  66. Jamba-1.5: Hybrid Transformer-Mamba Models at ScalearXiv:2408.12570Jamba Team: Barak Lenz, Alan Arazi, Amir Bergman, et al.2024 · 30 citations
  67. Nemotron-4 15B Technical ReportarXiv:2402.16819Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, et al.2024 · 30 citations
  68. ProxyQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Haochen Tan, Zhijiang Guo, Zhan Shi, et al.2024 · 30 citations
  69. RMB: Comprehensively Benchmarking Reward Models in LLM AlignmentarXiv:2410.09893Enyu Zhou, Guodong Zheng, Binghai Wang, et al.2024 · 30 citations
  70. Qwen3.5-Omni Technical ReportarXiv:2604.15804Qwen Team2026 · 29 citations
  71. Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red TeamingarXiv:2501.18837Mrinank Sharma, Meg Tong, Jesse Mu, et al.2025 · 29 citations
  72. InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language ModelsarXiv:2503.06692Yuchen Yan, Yongliang Shen, Yang Liu, et al.2025 · 29 citations
  73. INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based AgentAnnual Meeting of the Association for Computational Linguistics (ACL)Haohang Li, Yupeng Cao, Yangyang Yu, et al.2025 · 29 citations
  74. SEA-LION: Southeast Asian Languages in One NetworkInternational Joint Conference on Natural Language Processing (IJCNLP)Raymond Ng, Thanh Ngan Nguyen, Huang Yuli, et al.2025 · 29 citations
  75. Efficient and Effective Vocabulary Expansion Towards Multilingual Large Language ModelsarXiv:2402.14714Seungduk Kim, Seungtaek Choi, Myeongho Jeong2024 · 29 citations
  76. TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and GenerationarXiv:2410.03608Jonathan Cook, Tim Rocktaschel, Jakob Foerster, et al.2024 · 29 citations
  77. Transformers Can Achieve Length Generalization But Not RobustlyarXiv:2402.09371Yongchao Zhou, Uri Alon, Xinyun Chen, et al.2024 · 29 citations
  78. Baichuan-Omni-1.5 Technical ReportarXiv:2501.15368Yadong Li, Jun Liu, Tao Zhang, et al.2025 · 28 citations
  79. Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public OpinionsAnnual Meeting of the Association for Computational Linguistics (ACL)Joseph Suh, Erfan Jahanparast, Suhong Moon, et al.2025 · 28 citations
  80. T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference ScalingarXiv:2501.11651Zhenyu Hou, Xin Lv, Rui Lu, et al.2025 · 28 citations
  81. ArMeme: Propagandistic Content in Arabic MemesConference on Empirical Methods in Natural Language Processing (EMNLP)Firoj Alam, Abul Hasnat, Fatema Ahmad, et al.2024 · 28 citations
  82. Automatic Instruction Evolving for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Weihao Zeng, Can Xu, Yingxiu Zhao, et al.2024 · 28 citations
  83. Stable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Qianchi Zhang, Hainan Zhang, Liang Pang, et al.2026 · 27 citations
  84. Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model PerformanceConference on Empirical Methods in Natural Language Processing (EMNLP)Omer Nahum, Nitay Calderon, Orgad Keller, et al.2025 · 27 citations
  85. Can Large Language Models Unlock Novel Scientific Research Ideas?Conference on Empirical Methods in Natural Language Processing (EMNLP)Sandeep Kumar, Tirthankar Ghosal, Vinayak Goyal, et al.2025 · 27 citations
  86. LLM Agents Making Agent ToolsAnnual Meeting of the Association for Computational Linguistics (ACL)Georg Wölflein, Dyke Ferber, Daniel Truhn, et al.2025 · 27 citations
  87. SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific LiteratureConference on Empirical Methods in Natural Language Processing (EMNLP)David Wadden, Kejian Shi, Jacob Morrison, et al.2025 · 27 citations
  88. Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in TransformersAnnual Meeting of the Association for Computational Linguistics (ACL)Clément Dumas, Chris Wendler, Veniamin Veselovsky, et al.2025 · 27 citations
  89. Towards the Law of Capacity Gap in Distilling Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chen Zhang, Qiuchi Li, Dawei Song, et al.2025 · 27 citations
  90. LearnLM: Improving Gemini for learningLearnLM Team2024 · 27 citations
  91. Sailor: Open Language Models for South-East AsiaarXiv:2404.03608Longxu Dou, Qian Liu, Guangtao Zeng, et al.2024 · 27 citations
  92. Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal SamplingarXiv:2408.16737Hritik Bansal, Arian Hosseini, Rishabh Agarwal, et al.2024 · 27 citations
  93. A Survey on Large Language Models for Mathematical ReasoningACM Computing SurveysPeng-Yuan Wang, Tian-Shuo Liu, Chenyang Wang, et al.2025 · 26 citations
  94. Binary Classifier Optimization for Large Language Model AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Seungjae Jung, Gunsoo Han, Daniel Wontae Nam, et al.2025 · 26 citations
  95. Code-Switching Red-Teaming: LLM Evaluation for Safety and Multilingual UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Haneul Yoo, Yongjin Yang, Hwaran Lee2025 · 26 citations
  96. Distillation Scaling LawsarXiv:2502.08606Dan Busbridge, Amitis Shidani, Floris Weers, et al.2025 · 26 citations
  97. MegaPairs: Massive Data Synthesis for Universal Multimodal RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Junjie Zhou, Yongping Xiong, Zheng Liu, et al.2025 · 26 citations
  98. NaturalReasoning: Reasoning in the Wild with 2.8M Challenging QuestionsConference on Neural Information Processing Systems (NeurIPS)Weizhe Yuan, Jane Yu, Song Jiang, et al.2025 · 26 citations
  99. Scaling Test-Time Compute Without Verification or RL is SuboptimalarXiv:2502.12118Amrith Setlur, Nived Rajaraman, Sergey Levine, et al.2025 · 26 citations
  100. S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Ruotian Ma, Peisong Wang, Cheng Liu, et al.2025 · 26 citations

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