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Who cites Kuang-Huei Lee

526 citations of their works from 515 papers of our library (of the 149,439 whose bibliographies we read) · 160 with a page here, the most cited first · page 2 of 2 · 101–160 · ← Kuang-Huei Lee

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  1. Learning to Reason and Memorize with Self-NotesConference on Neural Information Processing Systems (NeurIPS)Jack Lanchantin, Shubham Toshniwal, Jason Weston, et al.2023 · 21 citations
  2. The Vector Grounding ProblemarXiv:2304.01481Dimitri Coelho Mollo, Raphael Milliere2023 · 20 citations
  3. Quality-Diversity through AI FeedbackarXiv:2310.13032Herbie Bradley, Andrew Dai, Hannah Teufel, et al.2023 · 19 citations
  4. Large Language Models Can Solve Real-World Planning Rigorously with Formal Verification ToolsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yilun Hao, Yongchao Chen, Yang Zhang, et al.2025 · 18 citations
  5. Aviary: training language agents on challenging scientific tasksarXiv:2412.21154Siddharth Narayanan, James D. Braza, Ryan-Rhys Griffiths, et al.2024 · 18 citations
  6. Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and PlanningarXiv:2312.05230Zhiting Hu, Tianmin Shu2023 · 18 citations
  7. Large Language Model ProgramsarXiv:2305.05364Imanol Schlag, Sainbayar Sukhbaatar, Asli Celikyilmaz, et al.2023 · 18 citations
  8. Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon PredictionIEEE Computer Society Conference on Computer Vision and Pattern RecognitionShaofei Cai, Zihao Wang, Xiaojian Ma, et al.2023 · 18 citations
  9. PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem SolvingConference on Empirical Methods in Natural Language Processing (EMNLP)Mihir Parmar, Xin Liu, Palash Goyal, et al.2025 · 16 citations
  10. Sparks of Science: Hypothesis Generation Using Structured Paper DataarXiv:2504.12976Charles O'Neill, Tirthankar Ghosal, Roberta R\uaileanu, et al.2025 · 16 citations
  11. Self-Correcting RAG: Enhancing Faithfulness via MMKP Context Selection and NLI-Guided MCTSFindings of the Association for Computational LinguisticsShijia Xu, Zhou Wu, Xiaolong Jia, et al.2026 · 15 citations
  12. Generating Code World Models with Large Language Models Guided by Monte Carlo Tree SearcharXiv:2405.15383Nicola Dainese, Matteo Merler, Minttu Alakuijala, et al.2024 · 14 citations
  13. Open-Endedness is Essential for Artificial Superhuman IntelligencearXiv:2406.04268Edward Hughes, Michael Dennis, Jack Parker-Holder, et al.2024 · 14 citations
  14. Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language ModelsFindings of the Association for Computational LinguisticsYuan Sui, Yufei He, Tri Cao, et al.2026 · 13 citations
  15. Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample EfficiencyarXiv:2309.17382Zhihan Liu, Hao Hu, Shenao Zhang, et al.2023 · 13 citations
  16. When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM ReasoningarXiv:2504.01005Nishad Singhi, Hritik Bansal, Arian Hosseini, et al.2025 · 12 citations
  17. Causal Language Modeling Can Elicit Search and Reasoning Capabilities on Logic PuzzlesConference on Neural Information Processing Systems (NeurIPS)Kulin Shah, Nishanth Dikkala, Xin Wang, et al.2024 · 12 citations
  18. Scaffolding Coordinates to Promote Vision-Language Coordination in Large Multi-Modal ModelsInternational Conference on Computational Linguistics (COLING)Xuanyu Lei, Zonghan Yang, Xinrui Chen, et al.2025 · 11 citations
  19. Augmenting Autotelic Agents with Large Language ModelsarXiv:2305.12487Cedric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, et al.2023 · 11 citations
  20. Learning and Leveraging Verifiers to Improve Planning Capabilities of Pre-trained Language ModelsarXiv:2305.17077Daman Arora, Subbarao Kambhampati2023 · 10 citations
  21. Language Modeling by Language ModelsConference on Neural Information Processing Systems (NeurIPS)Junyan Cheng, Peter Clark, Kyle Richardson2025 · 9 citations
  22. Problem Solving Through Human–AI Preference-based CooperationComputational LinguisticsSubhabrata Dutta, Timo Kaufmann, Goran Glavaš, et al.2025 · 9 citations
  23. Distilling Internet-Scale Vision-Language Models into Embodied AgentsarXiv:2301.12507Theodore Sumers, Kenneth Marino, Arun Ahuja, et al.2023 · 9 citations
  24. H-MEM: Hierarchical Memory for High-Efficiency Long-Term Reasoning in LLM AgentsConference of the European Chapter of the Association for Computational Linguistics (EACL)Haoran Sun, Shaoning Zeng, Bob Zhang2026 · 8 citations
  25. Lightweight LLM Agent Memory with Small Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaquan Zhang, Chaoning Zhang, Shuxu Chen, et al.2026 · 6 citations
  26. ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Rachneet Kaur, Nishan Srishankar, Zhen Zeng, et al.2026 · 5 citations
  27. Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqi Zhang, Mengna Wang, Gangao Liu, et al.2026 · 5 citations
  28. GAM: Hierarchical Graph-based Agentic Memory for LLM AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaofen Wu, Hanrong Zhang, Fulin Lin, et al.2026 · 5 citations
  29. Growing Through Experience: Scaling Episodic Grounding in Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chunhui Zhang, Sirui Wang, Zhongyu Ouyang, et al.2025 · 5 citations
  30. Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems?International Joint Conference on Natural Language Processing (IJCNLP)Kai Yan, Yufei Xu, Zhengyin Du, et al.2025 · 5 citations
  31. Preference-Aware Memory Update for Long-Term LLM AgentsFindings of the Association for Computational LinguisticsHaoran Sun, Zekun Zhang, Shaoning Zeng2026 · 4 citations
  32. Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and OpportunitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Changdae Oh, Seongheon Park, To Eun Kim, et al.2026 · 4 citations
  33. From Storage to Experience: A Survey on the Evolution of LLM Agent Memory MechanismsFindings of the Association for Computational LinguisticsJinghao Luo, Yuchen Tian, Chuxue Cao, et al.2026 · 3 citations
  34. Tailoring Memory Granularity for Multi-Hop Reasoning over Long ContextsFindings of the Association for Computational LinguisticsPeijun Qing, Xingjian Diao, Chiyu Ma, et al.2026 · 3 citations
  35. HeLa-Mem: Hebbian Learning and Associative Memory for LLM AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Jinchang Zhu, Jindong Li, Cheng Zhang, et al.2026 · 2 citations
  36. Strong Reasoning Isn't Enough: Evaluating Evidence Elicitation in Interactive DiagnosisFindings of the Association for Computational LinguisticsZhuohan Long, Zhongyu Wei2026 · 1 citation
  37. Language Models are Bounded Pragmatic Speakers: Understanding RLHF from a Bayesian Cognitive Modeling PerspectivearXiv:2305.17760Khanh Nguyen2023 · 1 citation
  38. A Dual-Phase Self-Evolution Framework for Large Language ModelsFindings of the Association for Computational LinguisticsHaoran Sun, Zekun Zhang, Shaoning Zeng2026
  39. AlphaContext: An Evolutionary Tree-based Psychometric Context Generator for Creativity AssessmentAnnual Meeting of the Association for Computational Linguistics (ACL)Yixuan Wang, Yue Huang, Hong Qian, et al.2026
  40. Amory: Building Coherent Narrative-Driven Agent Memory through Agentic ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Yue Zhou, Xiaobo Guo, Belhassen Bayar, et al.2026
  41. Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based OptimizersConference of the European Chapter of the Association for Computational Linguistics (EACL)Andrew Zhao, Reshmi Ghosh, Vitor R. Carvalho, et al.2026
  42. Can VLMs Predict Future States? Bootstrapping World Models from Inverse DynamicsFindings of the Association for Computational LinguisticsYifu Qiu, Yftah Ziser, Anna Korhonen, et al.2026
  43. CARL: Constraint-Aware Reinforcement Learning for Planning with LLMsFindings of the Association for Computational LinguisticsQiuyi Qi, Jinjian Zhang, Mutian Bao, et al.2026
  44. Conflict-Aware Memory for Embodied Agents: Enhancing Vector Data Quality via Detection RulesAnnual Meeting of the Association for Computational Linguistics (ACL)Kexin Ma, Haotian Wang, Shenglin Chen, et al.2026
  45. Context-Aware Language Understanding in Human-Robot Dialogue with LLMsInternational Workshop on Spoken Dialogue System TechnologySvetlana Stoyanchev, Youmna Farag, Simon Keizer, et al.2026
  46. CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical ReasoningFindings of the Association for Computational LinguisticsZhuo Wang, Zhuo Zhang, Yafu Li, et al.2026
  47. Evolutionary Search for Automated Design of Uncertainty Quantification MethodsAnnual Meeting of the Association for Computational Linguistics (ACL)Mikhail Seleznyov, Daniil Korbut, Viktor Moskvoretskii, et al.2026
  48. FalconCopilot: Empowering LLMs Towards Integrated Human-Machine Systems for Aviation AutonomyFindings of the Association for Computational LinguisticsJingyuan Yan, Qingchen Liu, Qichao Ma, et al.2026
  49. Follow the Path: Reasoning over Knowledge Graph Paths to Improve Large Language Model FactualityFindings of the Association for Computational LinguisticsMike Zhang, Johannes Bjerva, Russa Biswas2026
  50. Frame2KG: A Benchmark and Evaluation Toolkit for Interpretable Frame-to-Graph GenerationLanguage Resources and Evaluation Conference (LREC)Lewis N. Watson, Carl Strathearn, Kenny Mitchell, et al.2026
  51. LARA: LLM-based Agile Power Distribution Network Restoration from Disastrous EventsFindings of the Association for Computational LinguisticsJishnu Warrier, Heqing Huang, Yuzhang Lin, et al.2026
  52. Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving MemoryAnnual Meeting of the Association for Computational Linguistics (ACL)Derong Xu, Shuochen Liu, Pengfei Luo, et al.2026
  53. MADRA: Multi-Agent Debate for Risk-Aware Embodied PlanningFindings of the Association for Computational LinguisticsJunJian Wang, Lidan Zhao, Xi Sheryl Zhang2026
  54. MemWeaver: Weaving Hybrid Memories for Traceable Long-Horizon Agentic ReasoningFindings of the Association for Computational LinguisticsJuexiang Ye, Xue Li, Yang Xinyu, et al.2026
  55. MIRTH: Mutual-Information Reasoning with Temporal Hubs for Vision-Language-Action AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Sun, Yu Song, Teng Shiyu, et al.2026
  56. Parallel Test-Time Scaling for Latent Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Runyang You, Yongqi Li, Meng Liu, et al.2026
  57. Self-Consistency from Only Two Samples: CoT–PoT Ensembling for Efficient LLM ReasoningFindings of the Association for Computational LinguisticsRaman Saparkhan, Majd Hawasly, Md Rizwan Parvez, et al.2026
  58. Self-Guided Plan Extraction for Instruction-Following Tasks with Goal-Conditional Reinforcement LearningFindings of the Association for Computational LinguisticsZoya Volovikova, Nikita Sorokin, Dmitriy Lukashevskiy, et al.2026
  59. Embodied Intelligence Systems Based on Large Models: A Survey (基于大模型的具身智能系统综述)Acta Automatica Sinica (自动化学报)Wensheng Wang (王文晟), Ning Tan (谭宁), Kai Huang (黄凯), et al.2025
  60. Survey of Tool Use in Large Language Models (大语言模型的工具使用综述)Acta Automatica Sinica (自动化学报)Yining Zheng (郑逸宁), Zhen Yu (余镇), Bufan Li (李不凡), et al.2025

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