🧑‍🔬 Who cites Minae Kwon

216 citations of their works from 213 papers of our library (of the 149,439 whose bibliographies we read) · 57 with a page here, the most cited first · ← Minae Kwon

1. The Rise and Potential of Large Language Model Based Agents: A SurveyScience China Information SciencesZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,272 citations
2. MetaGPT: Meta Programming for A Multi-Agent Collaborative FrameworkarXiv:2308.00352Sirui Hong, Mingchen Zhuge, Jiaqi Chen, et al.2023 · 630 citations
3. BloombergGPT: A Large Language Model for FinancearXiv:2303.17564Shijie Wu, Ozan Irsoy, Steven Lu, et al.2023 · 618 citations
4. 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
5. Augmented Language Models: a SurveyarXiv:2302.07842Grégoire Mialon, Roberto Dessì, Maria Lomeli, et al.2023 · 369 citations
6. Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and PerspectivesHumanities and Social Sciences CommunicationsChen Gao, Xiaochong Lan, Nian Li, et al.2023 · 344 citations
7. Can large language models provide useful feedback on research papers? A large-scale empirical analysisarXiv:2310.01783Weixin Liang, Yuhui Zhang, Hancheng Cao, et al.2023 · 332 citations
8. Large Language Models for Data Annotation and Synthesis: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Tan, Dawei Li, Song Wang, et al.2024 · 262 citations
9. Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt InjectionarXiv:2302.12173Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, et al.2023 · 239 citations
10. Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP ResearchersarXiv:2409.04109Chenglei Si, Diyi Yang, Tatsunori Hashimoto2024 · 196 citations
11. Eureka: Human-Level Reward Design via Coding Large Language ModelsarXiv:2310.12931Yecheng Jason Ma, William Liang, Guanzhi Wang, et al.2023 · 142 citations
12. MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language FeedbackarXiv:2309.10691Xingyao Wang, Zihan Wang, Jiateng Liu, et al.2023 · 141 citations
13. SOTOPIA: Interactive Evaluation for Social Intelligence in Language AgentsarXiv:2310.11667Xuhui Zhou, Hao Zhu, Leena Mathur, et al.2023 · 138 citations
14. Improving Language Model Negotiation with Self-Play and In-Context Learning from AI FeedbackarXiv:2305.10142Yao Fu, Hao Peng, Tushar Khot, et al.2023 · 132 citations
15. Chain of Hindsight Aligns Language Models with FeedbackarXiv:2302.02676Hao Liu, Carmelo Sferrazza, Pieter Abbeel2023 · 126 citations
16. Large Language Model Alignment: A SurveyarXiv:2309.15025Tianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 124 citations
17. The Alignment Problem from a Deep Learning PerspectivearXiv:2209.00626Richard Ngo, Lawrence Chan, Soren Mindermann2022 · 121 citations
18. Compositional Exemplars for In-context LearningarXiv:2302.05698Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, et al.2023 · 120 citations
19. A Critical Evaluation of Evaluations for Long-form Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Fangyuan Xu, Yixiao Song, Mohit Iyyer, et al.2023 · 117 citations
20. From Persona to Personalization: A Survey on Role-Playing Language AgentsarXiv:2404.18231Jiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 115 citations
21. GPT detectors are biased against non-native English writersarXiv:2304.02819Weixin Liang, Mert Yuksekgonul, Yining Mao, et al.2023 · 110 citations
22. AppAgent: Multimodal Agents as Smartphone UsersarXiv:2312.13771Chi Zhang, Zhao Yang, Jiaxuan Liu, et al.2023 · 107 citations
23. FLASK: Fine-grained Language Model Evaluation based on Alignment Skill SetsarXiv:2307.10928Seonghyeon Ye, Doyoung Kim, Sungdong Kim, et al.2023 · 100 citations
24. On Learning to Summarize with Large Language Models as ReferencesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yixin Liu, Kejian Shi, Katherine He, et al.2024 · 94 citations
25. A Survey of Reinforcement Learning from Human FeedbackTransactions on Machine Learning ResearchTimo Kaufmann, Paul Weng, Viktor Bengs, et al.2023 · 92 citations
26. AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and OptimisationarXiv:2312.13010Dong Huang, Jie M.Zhang, Michael Luck, et al.2023 · 90 citations
27. Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewardsConference on Neural Information Processing Systems (NeurIPS)Alexandre Rame, Guillaume Couairon, Mustafa Shukor, et al.2023 · 90 citations
28. LLMs Can't Plan, But Can Help Planning in LLM-Modulo FrameworksarXiv:2402.01817 · Proceedings of the 41 st International Conference on Machine Learning, Vienna, Austria. PMLR 235, 2024Subbarao Kambhampati, Karthik Valmeekam, Lin Guan, et al.2024 · 88 citations
29. Large Language Models as General Pattern MachinesarXiv:2307.04721Suvir Mirchandani, Fei Xia, Pete Florence, et al.2023 · 88 citations
30. LLMs Get Lost In Multi-Turn ConversationarXiv:2505.06120Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, et al.2025 · 82 citations
31. Does Writing with Language Models Reduce Content Diversity?arXiv:2309.05196Vishakh Padmakumar, He He2023 · 82 citations
32. MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Wai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, et al.2024 · 67 citations
33. Decision-Oriented Dialogue for Human-AI CollaborationTransactions of the Association for Computational Linguistics (TACL)Jessy Lin, Nicholas Tomlin, Jacob Andreas, et al.2024 · 57 citations
34. Agent-Pro: Learning to Evolve via Policy-Level Reflection and OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqi Zhang, Ke Tang, Hai Wu, et al.2024 · 52 citations
35. Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling ApproachesFindings of the Association for Computational LinguisticsDaniel Fried, Nicholas Tomlin, Jennifer Hu, et al.2023 · 38 citations
36. SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language ModelsarXiv:2504.11468Hardy Chen, Haoqin Tu, Fali Wang, et al.2025 · 37 citations
37. How Abstract Is Linguistic Generalization in Large Language Models? Experiments with Argument StructureTransactions of the Association for Computational Linguistics (TACL)Michael Wilson, Jackson Petty, Robert Frank2023 · 29 citations
38. Modeling Cross-Cultural Pragmatic Inference with Codenames DuetFindings of the Association for Computational LinguisticsOmar Shaikh, Caleb Ziems, William Held, et al.2023 · 23 citations
39. GameBench: Evaluating Strategic Reasoning Abilities of LLM AgentsarXiv:2406.06613Anthony Costarelli, Mat Allen, Roman Hauksson, et al.2024 · 20 citations
40. Navigating Rifts in Human-LLM Grounding: Study and BenchmarkAnnual Meeting of the Association for Computational Linguistics (ACL)Omar Shaikh, Hussein Mozannar, Gagan Bansal, et al.2025 · 19 citations
41. DiPlomat: A Dialogue Dataset for Situated Pragmatic ReasoningConference on Neural Information Processing Systems (NeurIPS)Hengli Li, Song-Chun Zhu, Zilong Zheng2023 · 15 citations
42. ChatBench: From Static Benchmarks to Human-AI EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Serina Chang, Ashton Anderson, Jake M. Hofman2025 · 9 citations
43. Scaling Collaborative Effort with AgentsFindings of the Association for Computational LinguisticsShannon Zejiang Shen, Valerie Chen, Ken Gu, et al.2026 · 7 citations
44. Talk Less, Interact Better: Evaluating In-context Conversational Adaptation in Multimodal LLMsarXiv:2408.01417Yilun Hua, Yoav Artzi2024 · 5 citations
45. LVLMs and Humans Ground Differently in Referential CommunicationAnnual Meeting of the Association for Computational Linguistics (ACL)Peter Zeng, Weiling Li, Amie J. Paige, et al.2026 · 1 citation
46. When Do Large Language Models Exhibit Unsolicited Deception?Transactions of the Association for Computational Linguistics (TACL)Samuel M. Taylor, Benjamin K. Bergen2026 · 1 citation
47. Regularized Conventions: Equilibrium Computation as a Model of Pragmatic ReasoningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Athul Jacob, Gabriele Farina, Jacob Andreas2024 · 1 citation
48. Agentic Episodic ControlFindings of the Association for Computational LinguisticsXidong Yang, Wenhao Li, Junjie Sheng, et al.2026
49. Analysing Differences in Persuasive Language in LLM-Generated Text: Uncovering Stereotypical Gender PatternsFindings of the Association for Computational LinguisticsAmalie Brogaard Pauli, Maria Barrett, Max Müller-Eberstein, et al.2026
50. Arguments that Alter Minds: LLM Rationales Sway Human (and LLM) Notions of PlausibilityAnnual Meeting of the Association for Computational Linguistics (ACL)Shramay Palta, Peter A. Rankel, Sarah Wiegreffe, et al.2026
51. Bayesian Social Deduction with Graph-Informed Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shahab Rahimirad, Guven Gergerli, Lucia Romero, et al.2026
52. Breaking the Impasse: Dual-Scale Evolutionary Policy Training for Social Language AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Minzheng Wang, Run Luo, Yanbo Wang, et al.2026
53. Datamart-Agent: LLM-Driven Game-Theoretic Agent for Data Marketplace ModelingFindings of the Association for Computational LinguisticsPangjing Wu, Peter Q. Chen, Xiaodong Li, et al.2026
54. Don't Want Your LLM to Recommend Nuclear Strike? Try Asking It in JapaneseWorkshop on Trustworthy NLPRian Touchent2026
55. Generative Gamer: Learning Equilibrium Strategy by LLM-driven Dynamic DeductionAnnual Meeting of the Association for Computational Linguistics (ACL)Yadong Zhang, Xinshu Shen, Yupei Ren, et al.2026
56. Success and Cost Elicit Convention Formation for Efficient CommunicationAnnual Meeting of the Association for Computational Linguistics (ACL)Saujas Vaduguru, Yilun Hua, Yoav Artzi, et al.2026
57. The Stackelberg Speaker: Optimizing Persuasive Communication in Social Deduction GamesAnnual Meeting of the Association for Computational Linguistics (ACL)Zhang Zheng, Deheng Ye, Peilin Zhao, et al.2026

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