Who cites Zhenhailong Wang
- Survey of Hallucination in Natural Language GenerationACM Computing SurveysZiwei Ji, Nayeon Lee, Rita Frieske, et al.2022 · 5,974 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
- Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language ModelsComputational LinguisticsYue Zhang, Yafu Li, Leyang Cui, et al.2023 · 977 citations
- ChatEval: Towards Better LLM-based Evaluators through Multi-Agent DebatearXiv:2308.07201Chi-Min Chan, Weize Chen, Yusheng Su, et al.2023 · 359 citations
- 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
- AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent BehaviorsarXiv:2308.10848Weize Chen, Yusheng Su, Jingwei Zuo, et al.2023 · 217 citations
- Two Tales of Persona in LLMs: A Survey of Role-Playing and PersonalizationFindings of the Association for Computational LinguisticsYu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao, et al.2024 · 179 citations
- Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
- Scaling Synthetic Data Creation with 1,000,000,000 PersonasarXiv:2406.20094Tao Ge, Xin Chan, Xiaoyang Wang, et al.2024 · 171 citations
- 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
- From Persona to Personalization: A Survey on Role-Playing Language AgentsarXiv:2404.18231Jiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 115 citations
- A Dynamic LLM-Powered Agent Network for Task-Oriented Agent CollaborationarXiv:2310.02170Zijun Liu, Yanzhe Zhang, Peng Li, et al.2023 · 114 citations
- In-context Autoencoder for Context Compression in a Large Language ModelarXiv:2307.06945Tao Ge, Jing Hu, Lei Wang, et al.2023 · 114 citations
- AutoAgents: A Framework for Automatic Agent GenerationarXiv:2309.17288Guangyao Chen, Siwei Dong, Yu Shu, et al.2023 · 107 citations
- Multi-Agent Collaboration Mechanisms: A Survey of LLMsarXiv:2501.06322Khanh-Tung Tran, Dung Dao, Minh-Duong Nguyen, et al.2025 · 95 citations
- AFlow: Automating Agentic Workflow GenerationarXiv:2410.10762Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu, et al.2024 · 95 citations
- Building Cooperative Embodied Agents Modularly with Large Language ModelsarXiv:2307.02485Hongxin Zhang, Weihua Du, Jiaming Shan, et al.2023 · 95 citations
- Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMsarXiv:2311.04892Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, et al.2023 · 91 citations
- LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language TextsAnnual Meeting of the Association for Computational Linguistics (ACL)Helia Hashemi, Jason Eisner, Corby Rosset, et al.2024 · 88 citations
- More Agents Is All You NeedarXiv:2402.05120Junyou Li, Qin Zhang, Yangbin Yu, et al.2024 · 85 citations
- τ²-Bench: Evaluating Conversational Agents in a Dual-Control EnvironmentarXiv:2506.07982Victor Barres, Honghua Dong, Soham Ray, et al.2025 · 76 citations
- MARG: Multi-Agent Review Generation for Scientific PapersarXiv:2401.04259Mike D'Arcy, Tom Hope, Larry Birnbaum, et al.2024 · 76 citations
- Scaling Large Language Model-based Multi-Agent CollaborationarXiv:2406.07155Chen Qian, Zihao Xie, YiFei Wang, et al.2024 · 70 citations
- The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A SurveyarXiv:2404.11584Tula Masterman, Sandi Besen, Mason Sawtell, et al.2024 · 63 citations
- Meta-Prompting: Enhancing Language Models with Task-Agnostic ScaffoldingarXiv:2401.12954Mirac Suzgun, Adam Tauman Kalai2024 · 62 citations
- LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language ModelsarXiv:2404.01230Yadong Zhang, Shaoguang Mao, Tao Ge, et al.2024 · 44 citations
- A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super IntelligencearXiv:2507.21046Huan-ang Gao, Jiayi Geng, Wenyue Hua, et al.2025 · 36 citations
- MasRouter: Learning to Route LLMs for Multi-Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Yanwei Yue, Guibin Zhang, Boyang Liu, et al.2025 · 35 citations
- BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language ModelsarXiv:2309.06085Wei Qi Leong, Jian Gang Ngui, Yosephine Susanto, et al.2023 · 33 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
- Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMsarXiv:2311.17371Andries Smit, Paul Duckworth, Nathan Grinsztajn, et al.2023 · 29 citations
- 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
- Debate-to-Write: A Persona-Driven Multi-Agent Framework for Diverse Argument GenerationInternational Conference on Computational Linguistics (COLING)Zhe Hu, Hou Pong Chan, Jing Li, et al.2025 · 15 citations
- Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent SystemsConference on Empirical Methods in Natural Language Processing (EMNLP)Xu Shen, Yixin Liu, Yiwei Dai, et al.2025 · 15 citations
- Calibrating Verbal Uncertainty as a Linear Feature to Reduce HallucinationsConference on Empirical Methods in Natural Language Processing (EMNLP)Ziwei Ji, Lei Yu, Yeskendir Koishekenov, et al.2025 · 11 citations
- MetaScale: Test-Time Scaling with Evolving Meta-ThoughtsFindings of the Association for Computational LinguisticsQin Liu, Wenxuan Zhou, Nan Xu, et al.2026 · 7 citations
- ALYMPICS: LLM Agents Meet Game TheoryInternational Conference on Computational Linguistics (COLING)Shaoguang Mao, Yuzhe Cai, Yan Xia, et al.2025 · 7 citations
- 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
- BILLY: Steering Large Language Models via Merging Persona Vectors for Creative GenerationConference of the European Chapter of the Association for Computational Linguistics (EACL)Tsung-Min Pai, Jui-I Wang, Li-Chun Lu, et al.2026 · 4 citations
- Efficient Multi-Agent System Training with Data Influence-Oriented Tree SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Wentao Shi, Zichun Yu, Fuli Feng, et al.2026 · 2 citations
- DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Nithin Sivakumaran, Justin Chen, David Wan, et al.2026 · 1 citation
- PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy ConstraintsFindings of the Association for Computational LinguisticsMinjun Park, Donghyun Kim, Hyeonjong Ju, et al.2026 · 1 citation
- TAGS: A Test-Time Generalist–Specialist Framework with Retrieval-Augmented Reasoning and VerificationFindings of the Association for Computational LinguisticsJianghao Wu, Feilong Tang, Yulong Li, et al.2026 · 1 citation
- Verification-Aware Planning for Multi-Agent SystemsConference of the European Chapter of the Association for Computational Linguistics (EACL)Tianyang Xu, Dan Zhang, Kushan Mitra, et al.2026 · 1 citation
- A Game-Theoretic Negotiation Framework for Cross-Cultural ConsensusAnnual Meeting of the Association for Computational Linguistics (ACL)Guoxi Zhang, Jiawei Chen, Tianzhuo Yang, et al.2026
- BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow GenerationFindings of the Association for Computational LinguisticsBo Yuan, Yun Zhou, Zhichao Xu, et al.2026
- Can LLMs Reason Like Doctors? Exploring the Limits of Large Language Models in Complex Medical ReasoningFindings of the Association for Computational LinguisticsFlavio Merenda, Jose Manuel Gomez-Perez, German Rigau2026
- CIA: Inferring the Communication Topology from LLM-based Multi-Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Yongxuan Wu, Xixun Lin, He Zhang, et al.2026
- CORE: Measuring Multi-Agent LLM Interaction Quality under Game-Theoretic PressuresConference of the European Chapter of the Association for Computational Linguistics (EACL)Punya Syon Pandey, Yongjin Yang, Jiarui Liu, et al.2026
- Evo-Attacker: Memory-Augmented Reinforcement Learning for Long-Horizon Tool Attacks on LLM-MASAnnual Meeting of the Association for Computational Linguistics (ACL)Bingyu Yan, Xiaoming Zhang, JinYu Hou, et al.2026
- FusionFlow: Enabling Deep Structural Exploration for Automated Agentic Workflow GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Xiang Wang, Zongtao Yang, Zhuojian Hong, et al.2026
- Hetero-Designer: Automated Design of Multi-Agent Systems with Heterogeneous LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiheng Zhang, Yuanzhe Zhang, Bohan Yu, et al.2026
- Market-Bench: Benchmarking Large Language Models on Economic and Trade CompetitionAnnual Meeting of the Association for Computational Linguistics (ACL)Yushuo Zheng, Huiyu Duan, Zicheng Zhang, et al.2026
- ReCoQA: A Benchmark for Tool-Augmented and Multi-Step Reasoning in Real Estate Question and AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Yindong Zhang, Wenmian Yang, Yiquan Zhang, et al.2026
- SOAPTriage: SOAP-Guided Multi-View Clinical Text Modeling Framework for Automated ESI PredictionAnnual Meeting of the Association for Computational Linguistics (ACL)Enming Wang, Jianlei Wang, Xueping Peng, et al.2026
- Telling Speculative Stories to Help Humans Imagine the Harms of Healthcare AIFindings of the Association for Computational LinguisticsXingmeng Zhao, Tongnian Wang, Dan Schumacher, et al.2026
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