🧑‍🔬 Who cites Chang Shu

124 citations of their works from 124 papers of our library (of the 149,439 whose bibliographies we read) · 27 with a page here, the most cited first · ← Chang Shu

1. CogAgent: A Visual Language Model for GUI AgentsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionWenyi Hong, Weihan Wang, Qingsong Lv, et al.2023 · 367 citations
2. Executable Code Actions Elicit Better LLM AgentsarXiv:2402.01030Xingyao Wang, Yangyi Chen, Lifan Yuan, et al.2024 · 165 citations
3. Quiet-STaR: Language models can teach themselves to think before speaking2024 · 122 citations
4. xLAM: A Family of Large Action Models to Empower AI Agent SystemsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jianguo Zhang, Tian Lan, Ming Zhu, et al.2025 · 68 citations
5. Small LLMs Are Weak Tool Learners: A Multi-LLM AgentConference on Empirical Methods in Natural Language Processing (EMNLP)Weizhou Shen, Chenliang Li, Hongzhan Chen, et al.2024 · 65 citations
6. Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language ModelsFindings of the Association for Computational LinguisticsZehui Chen, Kuikun Liu, Qiuchen Wang, et al.2024 · 64 citations
7. A Family of Pretrained Transformer Language Models for RussianLanguage Resources and Evaluation Conference (LREC)Dmitry Zmitrovich, Aleksandr Abramov, Andrey Kalmykov, et al.2024 · 60 citations
8. PlanGenLLMs: A Modern Survey of LLM Planning CapabilitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Hui Wei, Zihao Zhang, Shenghua He, et al.2025 · 55 citations
9. Trial and Error: Exploration-Based Trajectory Optimization of LLM AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yifan Song, Da Yin, Xiang Yue, et al.2024 · 53 citations
10. WebDancer: Towards Autonomous Information Seeking AgencyConference on Neural Information Processing Systems (NeurIPS)Jialong Wu, Baixuan Li, Runnan Fang, et al.2025 · 50 citations
11. Symbolic Learning Enables Self-Evolving AgentsarXiv:2406.18532Wangchunshu Zhou, Yixin Ou, Shengwei Ding, et al.2024 · 34 citations
12. Efficient Tool Use with Chain-of-Abstraction ReasoningInternational Conference on Computational Linguistics (COLING)Silin Gao, Jane Dwivedi-Yu, Ping Yu, et al.2025 · 13 citations
13. What Goes Into a LM Acceptability Judgment? Rethinking the Impact of Frequency and LengthConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Lindia Tjuatja, Graham Neubig, Tal Linzen, et al.2025 · 12 citations
14. Distilling LLM Agent into Small Models with Retrieval and Code ToolsarXiv:2505.17612Minki Kang, Jongwon Jeong, Seanie Lee, et al.2025 · 11 citations
15. Reinforcement Learning for Self-Improving Agent with Skill LibraryAnnual Meeting of the Association for Computational Linguistics (ACL)Jiongxiao Wang, Qiaojing Yan, Yawei Wang, et al.2026 · 8 citations
16. Multilingual Nonce Dependency Treebanks: Understanding how Language Models Represent and Process Syntactic StructureConference of the North American Chapter of the Association for Computational Linguistics (NAACL)David Arps, Laura Kallmeyer, Younes Samih, et al.2024 · 4 citations
17. Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zheng Luo, T Pranav Kutralingam, Ogochukwu N. Okoani, et al.2026 · 3 citations
18. 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
19. Mistake Notebook Learning: Batch-Clustered Failures for Training-Free Agent AdaptationFindings of the Association for Computational LinguisticsXuanbo Su, Yingfang Zhang, Hao Luo, et al.2026 · 2 citations
20. Hierarchical Reinforcement Learning with Augmented Step-Level Transitions for LLM AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Shuai Zhen, Yanhua Yu, Ruopei Guo, et al.2026 · 1 citation
21. CIRAG: Construction–Integration Retrieval and Adaptive Generation for Multi-hop Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Zili Wei, Yilin Wang, Xiaocui Yang, et al.2026
22. FAMA: Failure-Aware Meta-Agentic Framework for Open-Source LLMs in Interactive Tool Use EnvironmentsFindings of the Association for Computational LinguisticsAmir Saeidi, Venkatesh Mishra, Souradeep Mukhopadhyay, et al.2026
23. Finding Sense in Nonsense with Generated Contexts: Perspectives from Humans and Language ModelsJoint Conference on Lexical and Computational Semantics (*SEM)Katrina Olsen, Sebastian Padó2026
24. From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM AgentsFindings of the Association for Computational LinguisticsHaoran Tan, Zeyu Zhang, Chen Ma, et al.2026
25. SAMem: State-Aware Memory as a Fine-Grained Memory for LLM Agents in Decision-MakingFindings of the Association for Computational LinguisticsTong Wang, Pei Xu, Shiyue Cao, et al.2026
26. Seeing Isn't Believing: Mitigating Belief Inertia via Active Intervention in Embodied AgentsFindings of the Association for Computational LinguisticsHanlin Wang, Chak Tou Leong, Jian Wang, et al.2026
27. Systematic Textual Availability of ManuscriptsHadar Miller, Samuel Londner, Tsvi Kuflik, et al.2025

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