Who cites Tianmin Shu
- A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
- 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
- Interpretable Machine Learning: Fundamental Principles and 10 Grand ChallengesarXiv:2103.11251 · Statistics Surveys, 2021Cynthia Rudin; Chaofan Chen; Zhi Chen; Haiyang Huang; Lesia Semenova;, Chudi Zhong2021 · 974 citations
- MetaGPT: Meta Programming for A Multi-Agent Collaborative FrameworkarXiv:2308.00352Sirui Hong, Mingchen Zhuge, Jiaqi Chen, et al.2023 · 630 citations
- 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
- Large Language Models as OptimizersarXiv:2309.03409Chengrun Yang, Xuezhi Wang, Yifeng Lu, et al.2023 · 413 citations
- Automatic Prompt Optimization with “Gradient Descent” and Beam SearchConference on Empirical Methods in Natural Language Processing (EMNLP)Reid Pryzant, Dan Iter, Jerry Li, et al.2023 · 409 citations
- Large Language Model based Multi-Agents: A Survey of Progress and ChallengesarXiv:2402.01680Taicheng Guo, Xiuying Chen, Yaqi Wang, et al.2024 · 288 citations
- AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent BehaviorsarXiv:2308.10848Weize Chen, Yusheng Su, Jingwei Zuo, et al.2023 · 217 citations
- The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesarXiv:2406.06608Sander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 189 citations
- From Persona to Personalization: A Survey on Role-Playing Language AgentsarXiv:2404.18231Jiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 115 citations
- Optimizing Instructions and Demonstrations for Multi-Stage Language Model ProgramsConference on Empirical Methods in Natural Language Processing (EMNLP)Krista Opsahl-Ong, Michael J Ryan, Josh Purtell, et al.2024 · 99 citations
- RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model OutputsAnnual Meeting of the Association for Computational Linguistics (ACL)Afra Feyza Akyurek, Ekin Akyurek, Ashwin Kalyan, et al.2023 · 89 citations
- Survey of Vulnerabilities in Large Language Models Revealed by Adversarial AttacksarXiv:2310.10844Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu, et al.2023 · 83 citations
- Rainier: Reinforced Knowledge Introspector for Commonsense Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Jiacheng Liu, Skyler Hallinan, Ximing Lu, et al.2022 · 82 citations
- (Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary TextsTransactions of the Association for Computational Linguistics (TACL)Minghao Wu, Jiahao Xu, Yulin Yuan, et al.2025 · 71 citations
- Explore, Establish, Exploit: Red Teaming Language Models from ScratcharXiv:2306.09442Stephen Casper, Jason Lin, Joe Kwon, et al.2023 · 52 citations
- 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
- OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task SynthesisAnnual Meeting of the Association for Computational Linguistics (ACL)Qiushi Sun, Kanzhi Cheng, Zichen Ding, et al.2025 · 48 citations
- Parameter-Efficient Fine-Tuning Design SpacesarXiv:2301.01821Jiaao Chen, Aston Zhang, Xingjian Shi, et al.2023 · 47 citations
- A Systematic Survey of Automatic Prompt Optimization TechniquesConference on Empirical Methods in Natural Language Processing (EMNLP)Kiran Ramnath, Kang Zhou, Sheng Guan, et al.2025 · 40 citations
- Knowledge Boundary of Large Language Models: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Moxin Li, Yong Zhao, Wenxuan Zhang, et al.2025 · 30 citations
- AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent CollaborationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhexuan Wang, Yutong Wang, Xuebo Liu, et al.2025 · 29 citations
- Joint Prompt Optimization of Stacked LLMs using Variational InferenceConference on Neural Information Processing Systems (NeurIPS)Alessandro Sordoni, Xingdi Yuan, Marc-Alexandre Cote, et al.2023 · 23 citations
- Time-MQA: Time Series Multi-Task Question Answering with Context EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Yaxuan Kong, Yiyuan Yang, Yoontae Hwang, et al.2025 · 21 citations
- Theory of Mind in Large Language Models: Assessment and EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Ruirui Chen, Weifeng Jiang, Chengwei Qin, et al.2025 · 16 citations
- ChemAgent: Self-updating Library in Large Language Models Improves Chemical ReasoningarXiv:2501.06590Xiangru Tang, Tianyu Hu, Muyang Ye, et al.2025 · 15 citations
- Rethinking Reflection in Pre-TrainingarXiv:2504.04022Essential AI: Darsh J Shah, Peter Rushton, Somanshu Singla, et al.2025 · 15 citations
- LLM-Based Human-Agent Collaboration and Interaction Systems: A SurveyFindings of the Association for Computational LinguisticsHenry Peng Zou, Wei-Chieh Huang, Yaozu Wu, et al.2026 · 12 citations
- AMR-TST: Abstract Meaning Representation-based Text Style TransferKaize Shi, Xueyao Sun, Li He, et al.2023 · 11 citations
- T-STAR: Truthful Style Transfer using AMR Graph as Intermediate RepresentationAnubhav Jangra, Preksha Nema, Aravindan Raghuveer2022 · 11 citations
- Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhuo Li, Yuhao Du, Jinpeng Hu, et al.2025 · 9 citations
- Towards Dynamic Theory of Mind: Evaluating LLM Adaptation to Temporal Evolution of Human StatesAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Xiao, Jiashuo Wang, Qiancheng Xu, et al.2025 · 8 citations
- Detecting Training Data of Large Language Models via Expectation MaximizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Gyuwan Kim, Yang Li, Evangelia Spiliopoulou, et al.2026 · 5 citations
- 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
- Query Decomposition for RAG: Balancing Exploration-ExploitationConference of the European Chapter of the Association for Computational Linguistics (EACL)Roxana Petcu, Kenton Murray, Daniel Khashabi, et al.2026 · 2 citations
- Colloquial Singaporean English Style Transfer with Fine-Grained Explainable ControlAnnual Meeting of the Association for Computational Linguistics (ACL)Jinggui Liang, Dung Vo, Yap Hong Xian, et al.2025 · 2 citations
- Communication-Efficient Desire Alignment for Proactive Embodied Human–Agent InteractionAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanfei Wang, Xinju Huang, Fangwei Zhong, et al.2026
- Diff4TST: Masked Diffusion Language Model for Text Style TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Xinchen Ma, Gaole He, Yunshi Lan, et al.2026
- GroupToM-Bench: Benchmarking Group Theory of Mind and Nonlinear Social Emergence in MLLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Weidong Tang, Jierui Li, Yueling Hou, et al.2026
- To Write or to Automate Linguistic Prompts, That Is the QuestionAnnual Conference of the European Association for Machine Translation (EAMT)Marina Sánchez-Torrón, Daria Akselrod, Jason Rauchwerk2026
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