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Who cites Ying Su

63 citations of their works from 63 papers of our library (of the 149,439 whose bibliographies we read) · 15 with a page here, the most cited first · ← Ying Su

  1. When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMsTransactions of the Association for Computational Linguistics (TACL)Ryo Kamoi, Yusen Zhang, Nan Zhang, et al.2024 · 161 citations
  2. Mixture-of-Agents Enhances Large Language Model CapabilitiesarXiv:2406.04692Junlin Wang, Jue Wang, Ben Athiwaratkun, et al.2024 · 116 citations
  3. Multi-Agent Collaboration Mechanisms: A Survey of LLMsarXiv:2501.06322Khanh-Tung Tran, Dung Dao, Minh-Duong Nguyen, et al.2025 · 95 citations
  4. RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement LearningarXiv:2504.20073Zihan Wang, Kangrui Wang, Qineng Wang, et al.2025 · 71 citations
  5. Scaling Large Language Model-based Multi-Agent CollaborationarXiv:2406.07155Chen Qian, Zihao Xie, YiFei Wang, et al.2024 · 70 citations
  6. Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent SystemAnnual Meeting of the Association for Computational Linguistics (ACL)Haoyang Su, Renqi Chen, Shixiang Tang, et al.2025 · 40 citations
  7. MemInsight: Autonomous Memory Augmentation for LLM AgentsConference on Empirical Methods in Natural Language Processing (EMNLP)Rana Salama, Jason Cai, Michelle Yuan, et al.2025 · 22 citations
  8. DEBATE, TRAIN, EVOLVE: Self-Evolution of Language Model ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Gaurav Srivastava, Zhenyu Bi, Meng Lu, et al.2025 · 7 citations
  9. SILO-BENCH: A Scalable Environment for Evaluating Distributed Coordination in Multi-Agent LLM SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuzhe Zhang, Feiran Liu, Yi Shan, et al.2026 · 2 citations
  10. ComfyUI-R1: Exploring Reasoning Models for Workflow GenerationFindings of the Association for Computational LinguisticsZhenran Xu, Yiyu Wang, Xue Yang, et al.2026 · 1 citation
  11. 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
  12. InferenceDynamics: Adaptive LLM Routing through Structured Capability and Knowledge ProfilingAnnual Meeting of the Association for Computational Linguistics (ACL)Haochen Shi, Tianshi Zheng, Weiqi Wang, et al.2026 · 1 citation
  13. 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
  14. CompTab: A Comprehensive Benchmark for Real-World TableQA with Complex Reasoning and Irregular TablesAnnual Meeting of the Association for Computational Linguistics (ACL)Zhen Yang, Wei Du, Jie Wang, et al.2026
  15. ConSensus: Multi-Agent Collaboration for Multimodal SensingFindings of the Association for Computational LinguisticsHyungjun Yoon, Mohammad Malekzadeh, Sung-Ju Lee, et al.2026

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