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Who cites Eric Tang

2,176 citations of their works from 2,152 papers of our library (of the 149,439 whose bibliographies we read) · 844 with a page here, the most cited first · page 5 of 9 · 401–500 · ← Eric Tang

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  1. TeleChat Technical ReportarXiv:2401.03804Zhongjiang He, Zihan Wang, Xinzhang Liu, et al.2024 · 24 citations
  2. Lyra: Orchestrating Dual Correction in Automated Theorem ProvingarXiv:2309.15806Chuanyang Zheng, Haiming Wang, Enze Xie, et al.2023 · 24 citations
  3. ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error DetectionFindings of the Association for Computational LinguisticsYibo Yan, Shen Wang, Jiahao Huo, et al.2026 · 23 citations
  4. Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL)Yiyao Yu, Yuxiang Zhang, Dongdong Zhang, et al.2025 · 23 citations
  5. Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM ReasoningarXiv:2506.06632Shubham Parashar, Shurui Gui, Xiner Li, et al.2025 · 23 citations
  6. AI-Assisted Generation of Difficult Math QuestionsarXiv:2407.21009Vedant Shah, Dingli Yu, Kaifeng Lyu, et al.2024 · 23 citations
  7. LEAN-GitHub: Compiling GitHub LEAN repositories for a versatile LEAN proverarXiv:2407.17227Zijian Wu, Jiayu Wang, Dahua Lin, et al.2024 · 23 citations
  8. Learning Formal Mathematics From Intrinsic MotivationConference on Neural Information Processing Systems (NeurIPS)Gabriel Poesia, David Broman, Nick Haber, et al.2024 · 23 citations
  9. Step-Controlled DPO: Leveraging Stepwise Error for Enhanced Mathematical ReasoningarXiv:2407.00782Zimu Lu, Aojun Zhou, Ke Wang, et al.2024 · 23 citations
  10. Online Difficulty Filtering for Reasoning Oriented Reinforcement LearningConference of the European Chapter of the Association for Computational Linguistics (EACL)Sanghwan Bae, Jiwoo Hong, Min Young Lee, et al.2026 · 22 citations
  11. Rethinking Entropy Interventions in RLVR: An Entropy Change PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL)Zhezheng Hao, Hong Wang, Haoyang Liu, et al.2026 · 22 citations
  12. MiniCPM4: Ultra-Efficient LLMs on End DevicesarXiv:2506.07900MiniCPM Team, Chaojun Xiao, Yuxuan Li, et al.2025 · 22 citations
  13. Scaling Latent Reasoning via Looped Language ModelsarXiv:2510.25741Rui-Jie Zhu, Zixuan Wang, Kai Hua, et al.2025 · 22 citations
  14. LeanReasoner: Boosting Complex Logical Reasoning with LeanarXiv:2403.13312Dongwei Jiang, Marcio Fonseca, Shay B. Cohen2024 · 22 citations
  15. Learning How Hard to Think: Input-Adaptive Allocation of LM ComputationarXiv:2410.04707Mehul Damani, Idan Shenfeld, Andi Peng, et al.2024 · 22 citations
  16. MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical ProblemsConference on Neural Information Processing Systems (NeurIPS)Bin Lei, Yi Zhang, Shan Zuo, et al.2024 · 22 citations
  17. A Survey on Evaluation of LLM-based AgentsFindings of the Association for Computational LinguisticsAsaf Yehudai, Lilach Eden, Alan Li, et al.2026 · 21 citations
  18. AceReason-Nemotron 1.1: Advancing Math and Code Reasoning through SFT and RL SynergyarXiv:2506.13284Zihan Liu, Zhuolin Yang, Yang Chen, et al.2025 · 21 citations
  19. CodeI/O: Condensing Reasoning Patterns via Code Input-Output PredictionarXiv:2502.07316Junlong Li, Daya Guo, Dejian Yang, et al.2025 · 21 citations
  20. DRP: Distilled Reasoning Pruning with Skill-aware Step Decomposition for Efficient Large Reasoning ModelsarXiv:2505.13975Yuxuan Jiang, Dawei Li, Francis Ferraro2025 · 21 citations
  21. GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?arXiv:2502.05252Yang Zhou, Hongyi Liu, Zhuoming Chen, et al.2025 · 21 citations
  22. MMLU-CF: A Contamination-free Multi-task Language Understanding BenchmarkAnnual Meeting of the Association for Computational Linguistics (ACL)Qihao Zhao, Yangyu Huang, Tengchao Lv, et al.2025 · 21 citations
  23. Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from JailbreakingConference on Empirical Methods in Natural Language Processing (EMNLP)Junda Zhu, Lingyong Yan, Shuaiqiang Wang, et al.2025 · 21 citations
  24. RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World ScenariosAnnual Meeting of the Association for Computational Linguistics (ACL)Ruiwen Zhou, Wenyue Hua, Liangming Pan, et al.2025 · 21 citations
  25. START: Self-taught Reasoner with ToolsConference on Empirical Methods in Natural Language Processing (EMNLP)Chengpeng Li, Mingfeng Xue, Zhenru Zhang, et al.2025 · 21 citations
  26. “Give Me BF16 or Give Me Death”? Accuracy-Performance Trade-Offs in LLM QuantizationAnnual Meeting of the Association for Computational Linguistics (ACL)Eldar Kurtic, Alexandre Noll Marques, Shubhra Pandit, et al.2025 · 21 citations
  27. Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language ModelsarXiv:2406.06563Tianwen Wei, Bo Zhu, Liang Zhao, et al.2024 · 21 citations
  28. TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Jing Xiong, Jianhao Shen, Ye Yuan, et al.2023 · 21 citations
  29. Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in AlignmentTransactions of the Association for Computational Linguistics (TACL)Karel D'Oosterlinck, Winnie Xu, Chris Develder, et al.2025 · 20 citations
  30. Curie: Toward Rigorous and Automated Scientific Experimentation with AI AgentsarXiv:2502.16069Patrick Tser Jern Kon, Jiachen Liu, Qiuyi Ding, et al.2025 · 20 citations
  31. MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Justin Chen, Archiki Prasad, Swarnadeep Saha, et al.2025 · 20 citations
  32. Self-Evolving Curriculum for LLM ReasoningarXiv:2505.14970Xiaoyin Chen, Jiarui Lu, Minsu Kim, et al.2025 · 20 citations
  33. The Art of Scaling Reinforcement Learning Compute for LLMsarXiv:2510.13786Devvrit Khatri, Lovish Madaan, Rishabh Tiwari, et al.2025 · 20 citations
  34. Self-Improvement in Language Models: The Sharpening MechanismarXiv:2412.01951Audrey Huang; Adam Block; Dylan J. Foster; Dhruv Rohatgi; Cyril Zhang; Max Simchowitz; Jordan T. Ash;, Akshay Krishnamurthy2024 · 20 citations
  35. Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Dayu Yang, Tianyang Liu, Daoan Zhang, et al.2025 · 19 citations
  36. ConCISE: Confidence-guided Compression in Step-by-step Efficient ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Ziqing Qiao, Yongheng Deng, Jiali Zeng, et al.2025 · 19 citations
  37. MegaMath: Pushing the Limits of Open Math CorporaarXiv:2504.02807Fan Zhou, Zengzhi Wang, Nikhil Ranjan, et al.2025 · 19 citations
  38. Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning ChainsConference on Neural Information Processing Systems (NeurIPS)Wenhui Tan, Jiaze Li, Jianzhong Ju, et al.2025 · 19 citations
  39. UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language ModelsarXiv:2502.00334Xin Xu, Qiyun Xu, Tong Xiao, et al.2025 · 19 citations
  40. Autoformalize Mathematical Statements by Symbolic Equivalence and Semantic ConsistencyConference on Neural Information Processing Systems (NeurIPS)Zenan Li, Yifan Wu, Zhaoyu Li, et al.2024 · 19 citations
  41. In-Context Principle Learning from MistakesarXiv:2402.05403Tianjun Zhang, Aman Madaan, Luyu Gao, et al.2024 · 19 citations
  42. MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical CodearXiv:2410.08196Zimu Lu, Aojun Zhou, Ke Wang, et al.2024 · 19 citations
  43. Proving Theorems RecursivelyConference on Neural Information Processing Systems (NeurIPS)Haiming Wang, Huajian Xin, Zhengying Liu, et al.2024 · 19 citations
  44. Evaluating Transformer Language Models on Arithmetic Operations Using Number DecompositionLanguage Resources and Evaluation Conference (LREC)Matteo Muffo, Aldo Cocco, Enrico Bertino2022 · 19 citations
  45. ReasonRank: Empowering Passage Ranking with Strong Reasoning AbilityAnnual Meeting of the Association for Computational Linguistics (ACL)Wenhan Liu, Xinyu Ma, Weiwei Sun, et al.2026 · 18 citations
  46. Command R7B Arabic: a small, enterprise-focused, multilingual, and culturally aware Arabic LLMWorkshop on African Natural Language ProcessingYazeed Alnumay, Alexandre Barbet, Anna Bialas, et al.2025 · 18 citations
  47. MA-LoT: Model-Collaboration Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem ProvingarXiv:2503.03205Ruida Wang, Rui Pan, Yuxin Li, et al.2025 · 18 citations
  48. Densing Law of LLMsarXiv:2412.04315Chaojun Xiao, Jie Cai, Weilin Zhao, et al.2024 · 18 citations
  49. TIP: Token Importance in On-Policy DistillationarXiv:2604.14084Yuanda Xu, Hejian Sang, Zhengze Zhou, et al.2026 · 17 citations
  50. EXP-Bench: Can AI Conduct AI Research Experiments?arXiv:2505.24785Patrick Tser Jern Kon, Jiachen Liu, Xinyi Zhu, et al.2025 · 17 citations
  51. Language Matters: How Do Multilingual Input and Reasoning Paths Affect Large Reasoning Models?arXiv:2505.17407Zhi Rui Tam, Cheng-Kuang Wu, Yu Ying Chiu, et al.2025 · 17 citations
  52. LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting ProblemsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nan Xu, Xuezhe Ma2025 · 17 citations
  53. Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal VerificationAnnual Meeting of the Association for Computational Linguistics (ACL)Chengwu Liu, Ye Yuan, Yichun Yin, et al.2025 · 17 citations
  54. Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-ThoughtarXiv:2504.05599Yi Peng, Peiyu Wang, Xiaokun Wang, et al.2025 · 17 citations
  55. Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMsarXiv:2507.09477Yangning Li, Weizhi Zhang, Yuyao Yang, et al.2025 · 17 citations
  56. DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning GraphConference on Neural Information Processing Systems (NeurIPS)Zhehao Zhang, Jiaao Chen, Diyi Yang2024 · 17 citations
  57. Entropy-Regularized Process Reward ModelarXiv:2412.11006Hanning Zhang, Pengcheng Wang, Shizhe Diao, et al.2024 · 17 citations
  58. Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zihan Wang, Deli Chen, Damai Dai, et al.2024 · 17 citations
  59. MultiPragEval: Multilingual Pragmatic Evaluation of Large Language ModelsProceedings of the 2nd GenBench Workshop on Generalisation (Benchmarking) in NLPDojun Park, Jiwoo Lee, Seohyun Park, et al.2024 · 17 citations
  60. MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Shuo Yin, Weihao You, Zhilong Ji, et al.2024 · 17 citations
  61. Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language ModelsarXiv:2412.02980Alex Havrilla, Andrew Dai, Laura O'Mahony, et al.2024 · 17 citations
  62. Skills-in-Context Prompting: Unlocking Compositionality in Large Language ModelsarXiv:2308.00304Jiaao Chen, Xiaoman Pan, Dian Yu, et al.2023 · 17 citations
  63. Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee DiscussionsAnnual Meeting of the Association for Computational Linguistics (ACL)Ruochen Zhao, Wenxuan Zhang, Yew Ken Chia, et al.2025 · 16 citations
  64. Can Large Reasoning Models Self-Train?arXiv:2505.21444Sheikh Shafayat, Fahim Tajwar, Ruslan Salakhutdinov, et al.2025 · 16 citations
  65. CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome RewardConference on Empirical Methods in Natural Language Processing (EMNLP)Shudong Liu, Hongwei Liu, Junnan Liu, et al.2025 · 16 citations
  66. Solving Formal Math Problems by Decomposition and Iterative ReflectionarXiv:2507.15225Yichi Zhou, Jianqiu Zhao, Yongxin Zhang, et al.2025 · 16 citations
  67. Towards Reasoning Ability of Small Language ModelsarXiv:2502.11569Gaurav Srivastava, Shuxiang Cao, Xuan Wang2025 · 16 citations
  68. MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn InteractionsarXiv:2405.19444Zhenwen Liang, Dian Yu, Wenhao Yu, et al.2024 · 16 citations
  69. What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical ReasoningProceedings of the AAAI Conference on Artificial IntelligenceYiran Ma, Zui Chen, Tianqiao Liu, et al.2024 · 16 citations
  70. Unlocking Exploration in RLVR: Uncertainty-aware Advantage Shaping for Deeper ReasoningFindings of the Association for Computational LinguisticsCan Xie, Ruotong Pan, Xiangyu Wu, et al.2026 · 15 citations
  71. Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and PerformancearXiv:2507.22448Jingwei Zuo, Maksim Velikanov, Ilyas Chahed, et al.2025 · 15 citations
  72. Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Fangzhi Xu, Qiushi Sun, Kanzhi Cheng, et al.2025 · 15 citations
  73. Language Models Encode the Value of Numbers LinearlyInternational Conference on Computational Linguistics (COLING)Fangwei Zhu, Damai Dai, Zhifang Sui2025 · 15 citations
  74. Outcome-based Exploration for LLM ReasoningarXiv:2509.06941Yuda Song, Julia Kempe, Remi Munos2025 · 15 citations
  75. Rethinking Reflection in Pre-TrainingarXiv:2504.04022Essential AI: Darsh J Shah, Peter Rushton, Somanshu Singla, et al.2025 · 15 citations
  76. Rewriting Pre-Training Data Boosts LLM Performance in Math and CodearXiv:2505.02881Kazuki Fujii, Yukito Tajima, Sakae Mizuki, et al.2025 · 15 citations
  77. Preference Optimization for Reasoning with Pseudo FeedbackarXiv:2411.16345Fangkai Jiao, Geyang Guo, Xingxing Zhang, et al.2024 · 15 citations
  78. Gentopia: A Collaborative Platform for Tool-Augmented LLMsarXiv:2308.04030Binfeng Xu, Xukun Liu, Hua Shen, et al.2023 · 15 citations
  79. WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language ModelsarXiv:2311.15930Youssef Benchekroun, Megi Dervishi, Mark Ibrahim, et al.2023 · 15 citations
  80. CoMAT: Chain of Mathematically Annotated Thought Improves Mathematical ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Joshua Ong Jun Leang, Aryo Pradipta Gema, Shay B. Cohen2025 · 14 citations
  81. Deconstructing Long Chain-of-Thought: A Structured Reasoning Optimization Framework for Long CoT DistillationarXiv:2503.16385Yijia Luo, Yulin Song, Xingyao Zhang, et al.2025 · 14 citations
  82. EducationQ: Evaluating LLMs' Teaching Capabilities Through Multi-Agent Dialogue FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Yao Shi, Rongkeng Liang, Yong Xu2025 · 14 citations
  83. Prover Agent: An Agent-Based Framework for Formal Mathematical ProofsarXiv:2506.19923Kaito Baba, Chaoran Liu, Shuhei Kurita, et al.2025 · 14 citations
  84. RaDeR: Reasoning-aware Dense Retrieval ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Debrup Das, Sam O'Nuallain, Razieh Rahimi2025 · 14 citations
  85. Neuro-Symbolic Data Generation for Math ReasoningConference on Neural Information Processing Systems (NeurIPS)Zenan Li, Zhi Zhou, Yuan Yao, et al.2024 · 14 citations
  86. Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models — The Story Goes OnarXiv:2407.08348Liang Zeng, Liangjun Zhong, Liang Zhao, et al.2024 · 14 citations
  87. Understanding Chain-of-Thought in LLMs through Information TheoryarXiv:2411.11984Jean-Francois Ton, Muhammad Faaiz Taufiq, Yang Liu2024 · 14 citations
  88. Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with MisconceptionsarXiv:2310.02439Naiming Liu, Shashank Sonkar, Zichao Wang, et al.2023 · 14 citations
  89. Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Hengyuan Zhang, Shiping Yang, Xiao Liang, et al.2026 · 13 citations
  90. NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-NeuronsAnnual Meeting of the Association for Computational Linguistics (ACL)Haonan Dong, Kehan Jiang, Haoran Ye, et al.2026 · 13 citations
  91. StepHint: Multi-level Stepwise Hints Enhance Reinforcement Learning to ReasonAnnual Meeting of the Association for Computational Linguistics (ACL)Kaiyi Zhang, Ang Lv, Jinpeng Li, et al.2026 · 13 citations
  92. Alignment for Efficient Tool Calling of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Hongshen Xu, Zihan Wang, Zichen Zhu, et al.2025 · 13 citations
  93. Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Xingxuan Li, Weiwen Xu, Ruochen Zhao, et al.2025 · 13 citations
  94. Dynamic Parallel Tree Search for Efficient LLM ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yifu Ding, Wentao Jiang, Shunyu Liu, et al.2025 · 13 citations
  95. Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive SearcharXiv:2502.02508Maohao Shen, Guangtao Zeng, Zhenting Qi, et al.2025 · 13 citations
  96. CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal ModelsACM International Conference on Multimedia (ACM MM)Wentao Liu, Qianjun Pan, Yi Zhang, et al.2024 · 13 citations
  97. From Calculation to Adjudication: Examining LLM judges on Mathematical Reasoning TasksarXiv:2409.04168Andreas Stephan, Dawei Zhu, Matthias Aßenmacher, et al.2024 · 13 citations
  98. U-MATH: A University-Level Benchmark for Evaluating Mathematical Skills in LLMsarXiv:2412.03205Konstantin Chernyshev, Vitaliy Polshkov, Ekaterina Artemova, et al.2024 · 13 citations
  99. Fast and Effective On-Policy Distillation from Reasoning PrefixesFindings of the Association for Computational LinguisticsDongxu Zhang, Zhichao Yang, Sepehr Janghorbani, et al.2026 · 12 citations
  100. Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tingchen Fu, Yafu Li, Jiawei Gu, et al.2026 · 12 citations

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