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Who cites Ee-Peng Lim

614 citations of their works from 573 papers of our library (of the 149,439 whose bibliographies we read) · 130 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Ee-Peng Lim

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  1. Chain-of-Thought Prompting Elicits Reasoning in Large Language ModelsarXiv:2201.11903Jason Wei, Xuezhi Wang, Dale Schuurmans, et al.2022 · 11,499 citations
  2. PaLM: Scaling Language Modeling with PathwaysarXiv:2204.02311Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, et al.2022 · 4,753 citations
  3. Self-Consistency Improves Chain of Thought Reasoning in Language ModelsarXiv:2203.11171Xuezhi Wang, Jason Wei, Dale Schuurmans, et al.2022 · 3,121 citations
  4. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
  5. A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,287 citations
  6. Are NLP Models really able to Solve Simple Math Word Problems?Arkil Patel, Satwik Bhattamishra, Navin Goyal2021 · 890 citations
  7. WizardLM: Empowering large pre-trained language models to follow complex instructionsInternational Conference on Learning Representations (ICLR)Can Xu, Qingfeng Sun, Kai Zheng, et al.2023 · 741 citations
  8. Unleashing the potential of prompt engineering for large language modelsarXiv:2310.14735 · Patterns 6(6) 101,260 (2025)Banghao Chen, Zhaofeng Zhang, Nicolas Langrene, et al.2023 · 536 citations
  9. LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhiqiang Hu, Lei Wang, Yihuai Lan, et al.2023 · 401 citations
  10. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
  11. MAmmoTH: Building Math Generalist Models through Hybrid Instruction TuningarXiv:2309.05653Xiang Yue, Xingwei Qu, Ge Zhang, et al.2023 · 295 citations
  12. A Review of Large Language Models and Autonomous Agents in ChemistryarXiv:2407.01603Mayk Caldas Ramos, Christopher J. Collison, Andrew D. White2024 · 288 citations
  13. Measuring Faithfulness in Chain-of-Thought ReasoningarXiv:2307.13702Tamera Lanham, Anna Chen, Ansh Radhakrishnan, et al.2023 · 262 citations
  14. Scaling Relationship on Learning Mathematical Reasoning with Large Language ModelsarXiv:2308.01825Zheng Yuan, Hongyi Yuan, Chengpeng Li, et al.2023 · 261 citations
  15. Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive SurveyarXiv:2403.14608Zeyu Han, Chao Gao, Jinyang Liu, et al.2024 · 240 citations
  16. On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A SurveyFindings of the Association for Computational LinguisticsLin Long, Rui Wang, Ruixuan Xiao, et al.2024 · 237 citations
  17. Distilling Reasoning Capabilities into Smaller Language ModelsFindings of the Association for Computational LinguisticsKumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan2023 · 219 citations
  18. Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMsarXiv:2412.21187Xingyu Chen, Jiahao Xu, Tian Liang, et al.2024 · 192 citations
  19. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesarXiv:2406.06608Sander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 189 citations
  20. Evaluating Large Language Models: A Comprehensive SurveyarXiv:2310.19736Zishan Guo, Renren Jin, Chuang Liu, et al.2023 · 182 citations
  21. Promptbreeder: Self-Referential Self-Improvement Via Prompt EvolutionarXiv:2309.16797Chrisantha Fernando, Dylan Banarse, Henryk Michalewski, et al.2023 · 174 citations
  22. ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Justin Chen, Swarnadeep Saha, Mohit Bansal2024 · 156 citations
  23. REFINER: Reasoning Feedback on Intermediate RepresentationsarXiv:2304.01904Debjit Paul, Mete Ismayilzada, Maxime Peyrard, et al.2023 · 156 citations
  24. CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding ChallengesAnnual Meeting of the Association for Computational Linguistics (ACL)Kechi Zhang, Jia Li, Ge Li, et al.2024 · 150 citations
  25. 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
  26. Token-Budget-Aware LLM ReasoningarXiv:2412.18547Tingxu Han, Zhenting Wang, Chunrong Fang, et al.2024 · 136 citations
  27. Faithful Logical Reasoning via Symbolic Chain-of-ThoughtAnnual Meeting of the Association for Computational Linguistics (ACL)Jundong Xu, Hao Fei, Liangming Pan, et al.2024 · 129 citations
  28. Understanding the planning of LLM agents: A surveyarXiv:2402.02716Xu Huang, Weiwen Liu, Xiaolong Chen, et al.2024 · 128 citations
  29. Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled DataFindings of the Association for Computational LinguisticsKashun Shum, Shizhe Diao, Tong Zhang2023 · 128 citations
  30. Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and FuturearXiv:2309.15402Zheng Chu, Jingchang Chen, Qianglong Chen, et al.2023 · 125 citations
  31. Cross-lingual Prompting: Improving Zero-shot Chain-of-Thought Reasoning across LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP)Libo Qin, Qiguang Chen, Fuxuan Wei, et al.2023 · 122 citations
  32. 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
  33. Mixture-of-Agents Enhances Large Language Model CapabilitiesarXiv:2406.04692Junlin Wang, Jue Wang, Ben Athiwaratkun, et al.2024 · 116 citations
  34. UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical ExpressionConference on Empirical Methods in Natural Language Processing (EMNLP)Jiaqi Chen, Tong Li, Jinghui Qin, et al.2022 · 111 citations
  35. Efficient Large Language Models: A SurveyarXiv:2312.03863Zhongwei Wan, Xin Wang, Che Liu, et al.2023 · 110 citations
  36. Better Zero-Shot Reasoning with Role-Play PromptingarXiv:2308.07702Aobo Kong, Shiwan Zhao, Hao Chen, et al.2023 · 109 citations
  37. 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
  38. Learning to Reason Deductively: Math Word Problem Solving as Complex Relation ExtractionZhanming Jie, Jierui Li, Wei Lu2022 · 102 citations
  39. Personal LLM Agents: Insights and Survey about the Capability, Efficiency and SecurityarXiv:2401.05459Yuanchun Li, Hao Wen, Weijun Wang, et al.2024 · 100 citations
  40. AutoWebGLM: A Large Language Model-based Web Navigating AgentACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Hanyu Lai, Xiao Liu, Iat Long Iong, et al.2024 · 96 citations
  41. InterCode: Standardizing and Benchmarking Interactive Coding with Execution FeedbackConference on Neural Information Processing Systems (NeurIPS)John Yang, Akshara Prabhakar, Karthik Narasimhan, et al.2023 · 95 citations
  42. LLM Inference Unveiled: Survey and Roofline Model InsightsarXiv 2024Zhihang Yuan, Yuzhang Shang, Yang Zhou, et al.2024 · 91 citations
  43. ADaPT: As-Needed Decomposition and Planning with Language ModelsFindings of the Association for Computational LinguisticsArchiki Prasad, Alexander Koller, Mareike Hartmann, et al.2024 · 89 citations
  44. Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsWenhao Shi, Zhiqiang Hu, Yi Bin, et al.2024 · 86 citations
  45. Solving Math Word Problems via Cooperative Reasoning induced Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyu Zhu, Junjie Wang, Lin Zhang, et al.2023 · 86 citations
  46. Self-Contrast: Better Reflection Through Inconsistent Solving PerspectivesAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqi Zhang, Yongliang Shen, Linjuan Wu, et al.2024 · 75 citations
  47. ReFT: Representation Finetuning for Language ModelsConference on Neural Information Processing Systems (NeurIPS)Zhengxuan Wu, Aryaman Arora, Zheng Wang, et al.2024 · 74 citations
  48. Scaling Large Language Model-based Multi-Agent CollaborationarXiv:2406.07155Chen Qian, Zihao Xie, YiFei Wang, et al.2024 · 70 citations
  49. Branch-Solve-Merge Improves Large Language Model Evaluation and GenerationarXiv:2310.15123Swarnadeep Saha, Omer Levy, Asli Celikyilmaz, et al.2023 · 68 citations
  50. LegalAgentBench: Evaluating LLM Agents in Legal DomainAnnual Meeting of the Association for Computational Linguistics (ACL)Haitao Li, Junjie Chen, Jingli Yang, et al.2025 · 62 citations
  51. OS-Copilot: Towards Generalist Computer Agents with Self-ImprovementarXiv:2402.07456Zhiyong Wu, Chengcheng Han, Zichen Ding, et al.2024 · 61 citations
  52. LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuningarXiv:2308.03303Longteng Zhang, Lin Zhang, Shaohuai Shi, et al.2023 · 58 citations
  53. M³CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-ThoughtAnnual Meeting of the Association for Computational Linguistics (ACL)Qiguang Chen, Libo Qin, Jin Zhang, et al.2024 · 54 citations
  54. HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Mengkang Hu, Tianxing Chen, Qiguang Chen, et al.2025 · 49 citations
  55. Puzzle Solving using Reasoning of Large Language Models: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Panagiotis Giadikiaroglou, Maria Lymperaiou, Giorgos Filandrianos, et al.2024 · 48 citations
  56. MathChat: Converse to Tackle Challenging Math Problems with LLM AgentsarXiv:2306.01337Yiran Wu; Feiran Jia; Shaokun Zhang; Hangyu Li; Erkang Zhu; Yue Wang; Yin Tat Lee; Richard Peng; Qingyun Wu;, Chi Wang2023 · 46 citations
  57. Improving Chain-of-Thought Reasoning via Quasi-Symbolic AbstractionsAnnual Meeting of the Association for Computational Linguistics (ACL)Leonardo Ranaldi, Marco Valentino, Andre Freitas2025 · 42 citations
  58. Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge EvaluationarXiv:2306.05783Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye, et al.2023 · 34 citations
  59. Towards Reasoning in Large Language Models via Multi-Agent Peer Review CollaborationarXiv:2311.08152Zhenran Xu, Senbao Shi, Baotian Hu, et al.2023 · 29 citations
  60. Pushing the Limits of ChatGPT on NLP TasksarXiv:2306.09719Xiaofei Sun, Linfeng Dong, Xiaoya Li, et al.2023 · 28 citations
  61. DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context LearningarXiv:2310.02954Jing Xiong, Zixuan Li, Chuanyang Zheng, et al.2023 · 27 citations
  62. Prediction of Arabic Legal Rulings using Large Language ModelsElectronicsAdel Ammar, Anis Koubaa, Bilel Benjdira, et al.2023 · 27 citations
  63. StateFlow: Enhancing LLM Task-Solving through State-Driven WorkflowsarXiv:2403.11322Yiran Wu, Tianwei Yue, Shaokun Zhang, et al.2024 · 25 citations
  64. How Likely Do LLMs with CoT Mimic Human Reasoning?International Conference on Computational Linguistics (COLING)Guangsheng Bao, Hongbo Zhang, Cunxiang Wang, et al.2025 · 22 citations
  65. Astraios: Parameter-Efficient Instruction Tuning Code Large Language ModelsarXiv:2401.00788Terry Yue Zhuo, Armel Zebaze, Nitchakarn Suppattarachai, et al.2024 · 21 citations
  66. MoRAL: MoE Augmented LoRA for LLMs' Lifelong LearningarXiv:2402.11260Shu Yang; Muhammad Asif Ali; Cheng-Long Wang; Lijie Hu;, Di Wang2024 · 21 citations
  67. Zero-Shot Chain-of-Thought Reasoning Guided by Evolutionary Algorithms in Large Language ModelsLecture notes in computer scienceFeihu Jin, Yifan Liu, Ying Tan2024 · 18 citations
  68. ArMATH: a Dataset for Solving Arabic Math Word ProblemsLanguage Resources and Evaluation Conference (LREC)Reem Alghamdi, Zhenwen Liang, Xiangliang Zhang2022 · 17 citations
  69. Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Jundong Xu, Hao Fei, Meng Luo, et al.2025 · 16 citations
  70. TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer ReviewConference on Empirical Methods in Natural Language Processing (EMNLP)Yuan Chang, Ziyue Li, Hengyuan Zhang, et al.2025 · 16 citations
  71. LitLLMs, LLMs for Literature Review: Are we there yet?arXiv:2412.15249Shubham Agarwal, Gaurav Sahu, Abhay Puri, et al.2024 · 16 citations
  72. 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
  73. UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xueyan Zhang, Jinman Zhao, Zhifei Yang, et al.2025 · 14 citations
  74. 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
  75. Could Thinking Multilingually Empower LLM Reasoning?arXiv:2504.11833Changjiang Gao, Xu Huang, Wenhao Zhu, et al.2025 · 10 citations
  76. Planning with Multi-Constraints via Collaborative Language AgentsInternational Conference on Computational Linguistics (COLING)Cong Zhang, Xin Deik Goh, Dexun Li, et al.2025 · 10 citations
  77. Expression Syntax Information Bottleneck for Math Word ProblemsInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Jing Xiong, Chengming Li, Min Yang, et al.2023 · 10 citations
  78. Tiny Budgets, Big Gains: Parameter Placement Strategy in Parameter Super-Efficient Fine-TuningConference on Empirical Methods in Natural Language Processing (EMNLP)Jinman Zhao, Xueyan Zhang, Jiaru Li, et al.2025 · 8 citations
  79. Fine-tuning Large Language Models with Limited Data: A Survey and Practical GuideTransactions of the Association for Computational Linguistics (TACL)Marton Szep, Daniel Rueckert, Rüdiger von Eisenhart-Rothe, et al.2026 · 7 citations
  80. NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Wei Liu, Siya Qi, Xinyu Wang, et al.2025 · 7 citations
  81. EVOTOOL: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and Diversity-Aware SelectionAnnual Meeting of the Association for Computational Linguistics (ACL)Shuo Yang, Caren Han, Xueqi Ma, et al.2026 · 6 citations
  82. BeamLoRA: Beam-Constraint Low-Rank AdaptationAnnual Meeting of the Association for Computational Linguistics (ACL)Naibin Gu, Zhenyu Zhang, Xiyu Liu, et al.2025 · 6 citations
  83. Irony Detection, Reasoning and Understanding in Zero-shot LearningarXiv:2501.16884Peiling Yi, Yuhan Xia, Yunfei Long2025 · 5 citations
  84. A Goal Without a Plan Is Just a Wish: Efficient and Effective Global Planner Training for Long-Horizon Agent TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Shuzheng Si, Haozhe Zhao, Kangyang Luo, et al.2026 · 4 citations
  85. ARB: A Comprehensive Arabic Multimodal Reasoning BenchmarkLanguage Resources and Evaluation Conference (LREC)Sara Ghaboura, Shubham Patle, Ketan More, et al.2026 · 3 citations
  86. a1: Steep Test-time Scaling Law via Environment Augmented GenerationFindings of the Association for Computational LinguisticsLingrui Mei, Shenghua Liu, Yiwei Wang, et al.2026 · 2 citations
  87. LLM Prompt Duel Optimizer: Efficient Label-Free Prompt OptimizationFindings of the Association for Computational LinguisticsYuanchen Wu, Saurabh Verma, Justin Lee, et al.2026 · 2 citations
  88. COMPASS: Enhancing Agent Long-Horizon Reasoning with Evolving ContextAnnual Meeting of the Association for Computational Linguistics (ACL)Guangya Wan, Mingyang Ling, Xiaoqi Ren, et al.2026 · 1 citation
  89. Intention-Adaptive LLM Fine-Tuning for Text Revision GenerationFindings of the Association for Computational LinguisticsZhexiong Liu, Diane Litman2026 · 1 citation
  90. PATS: Personality-Aware Teaching Strategies with Large Language Model TutorsFindings of the Association for Computational LinguisticsDonya Rooein, Sankalan Pal Chowdhury, Mariia Eremeeva, et al.2026 · 1 citation
  91. Polynomial Expansion Rank Adaptation: Enhancing Low-Rank Fine-Tuning with High-Order InteractionsFindings of the Association for Computational LinguisticsWenhao Zhang, Lin Mu, Li Ni, et al.2026 · 1 citation
  92. PromptLab: A Collaborative Platform for Prompt Engineering and Dataset CurationConference of the European Chapter of the Association for Computational Linguistics (EACL)Maged S. Al-shaibani, Zaid Alyafeai, Dania Refai, et al.2026 · 1 citation
  93. Reasoning Fails Where Step Flow BreaksAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoyu Xu, Yulan Pan, Xiaosong Yuan, et al.2026 · 1 citation
  94. Reasoning Over Space: Enabling Geographic Reasoning for LLM-Based Generative Next POI RecommendationAnnual Meeting of the Association for Computational Linguistics (ACL)Dongyi Lv, Qiuyu Ding, Heng-Da Xu, et al.2026 · 1 citation
  95. RECAP: REwriting Conversations for Intent Understanding in Agentic PlanningFindings of the Association for Computational LinguisticsKushan Mitra, Dan Zhang, Hannah Kim, et al.2026 · 1 citation
  96. Rethinking Scale: Deployment Trade-offs of Small Language Models under Agent ParadigmsAnnual Meeting of the Association for Computational Linguistics (ACL)Xinlin Wang2026 · 1 citation
  97. SciFlow-Bench: Evaluating Structure-Aware Scientific Diagram Generation via Inverse ParsingAnnual Meeting of the Association for Computational Linguistics (ACL)Tong Zhang, Honglin Lin, Zhou Liu, et al.2026 · 1 citation
  98. SDPA at BEA 2026 Shared Task 2: Efficient LLM Fine-Tuning for Rubric-based Short Answer ScoringWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Zhexiong Liu, Jing Zhang2026 · 1 citation
  99. What Factors Affect LLMs and RLLMs in Financial Question Answering?Findings of the Association for Computational LinguisticsPeng Wang, Xuesi Hu, Jiageng Wu, et al.2026 · 1 citation
  100. Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem SolvingarXiv:2512.10739Yuzhe Gu, Songyang Gao, Zijian Wu, et al.2025 · 1 citation

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