🔗 Who cites «Language Agents as Optimizable Graphs»

89 papers of our library cite it (of the 149,439 whose bibliographies we read) · 33 with a page here, the most cited first · ← back to «Language Agents as Optimizable Graphs»

1. OpenHands: An Open Platform for AI Software Developers as Generalist AgentsarXiv:2407.16741Xingyao Wang, Boxuan Li, Yufan Song, et al.2024 · 221 citations
2. Agent Laboratory: Using LLM Agents as Research AssistantsarXiv:2501.04227Samuel Schmidgall, Yusheng Su, Ze Wang, et al.2025 · 139 citations
3. A Dynamic LLM-Powered Agent Network for Task-Oriented Agent CollaborationarXiv:2310.02170Zijun Liu, Yanzhe Zhang, Peng Li, et al.2023 · 114 citations
4. Multi-Agent Collaboration Mechanisms: A Survey of LLMsarXiv:2501.06322Khanh-Tung Tran, Dung Dao, Minh-Duong Nguyen, et al.2025 · 95 citations
5. AFlow: Automating Agentic Workflow GenerationarXiv:2410.10762Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu, et al.2024 · 95 citations
6. Data Interpreter: An LLM Agent for Data ScienceFindings of the Association for Computational LinguisticsSirui Hong, Yizhang Lin, Bang Liu, et al.2025 · 91 citations
7. Automated Design of Agentic SystemsarXiv:2408.08435Shengran Hu, Cong Lu, Jeff Clune2024 · 89 citations
8. Scaling Large Language Model-based Multi-Agent CollaborationarXiv:2406.07155Chen Qian, Zihao Xie, YiFei Wang, et al.2024 · 70 citations
9. 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
10. Symbolic Learning Enables Self-Evolving AgentsarXiv:2406.18532Wangchunshu Zhou, Yixin Ou, Shengwei Ding, et al.2024 · 34 citations
11. G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Shilong Wang, Guibin Zhang, Miao Yu, et al.2025 · 30 citations
12. 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
13. ResearchTown: Simulator of Human Research CommunityarXiv:2412.17767Haofei Yu, Zhaochen Hong, Zirui Cheng, et al.2024 · 23 citations
14. 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
15. AutoAgent: A Fully-Automated and Zero-Code Framework for LLM AgentsFindings of the Association for Computational LinguisticsJiabin Tang, Tianyu Fan, Chao Huang2026 · 13 citations
16. AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent PredictionConference on Empirical Methods in Natural Language Processing (EMNLP)Song Wang, Zhen Tan, Zihan Chen, et al.2025 · 10 citations
17. Planning with Multi-Constraints via Collaborative Language AgentsInternational Conference on Computational Linguistics (COLING)Cong Zhang, Xin Deik Goh, Dexun Li, et al.2025 · 10 citations
18. Beyond Outlining: Heterogeneous Recursive Planning for Adaptive Long-form Writing with Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Ruibin Xiong, Yimeng Chen, Dmitrii Khizbullin, et al.2025 · 8 citations
19. MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori InferenceFindings of the Association for Computational LinguisticsZheyuan Zhang, Lin Ge, Hongjiang Li, et al.2026 · 3 citations
20. Self-Evolving Multi-Agent Systems via Textual BackpropagationFindings of the Association for Computational LinguisticsXiaowen Ma, Yunpu Ma, Chenyang Lin, et al.2026 · 3 citations
21. EvoRoute: Experience-Driven Self-Routing LLM Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Guibin Zhang, Haiyang Yu, Kaiming Yang, et al.2026 · 2 citations
22. Scaling External Knowledge Input Beyond Context Windows of LLMs via Multi-Agent CollaborationAnnual Meeting of the Association for Computational Linguistics (ACL)Zijun Liu, Zhennan Wan, Peng Li, et al.2026 · 1 citation
23. AgentFactory: A Self-Evolving Framework Through Executable Subagent Accumulation and ReuseAnnual Meeting of the Association for Computational Linguistics (ACL)Zhang Zhang, Shuqi Lu, Hongjin Qian, et al.2026
24. 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
25. Beyond Static Toolsets: Self-Evolving LLM Tool Agents via Continual Documentation AdaptationFindings of the Association for Computational LinguisticsBin Wu, Edgar Meij, Emine Yilmaz2026
26. EvoHyper: Evolving Hypergraph Topologies for Unified Collaboration in Multi-Agent CommunicationFindings of the Association for Computational LinguisticsHeng Zhang, Yihao Zhong, Lubin Gan, et al.2026
27. 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
28. GBC: Gradient-Based Connections for Optimizing Multi-Agent SystemsAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Xiaocheng Yang, Abdulrahman Alrabah, Dilek Hakkani-Tür, et al.2026
29. 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
30. Identifying Collective Intelligence Factor in LLM Agent Groups for Generalizable Multi-Agent System DesignFindings of the Association for Computational LinguisticsZhilun Zhou, Zihan Liu, Jiahe Liu, et al.2026
31. MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe GraphingAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Liu, Jinxuan Cai, Yishen Li, et al.2026
32. NeuralFSM: Adaptive Multi-Agent Coordination via Learning Finite-State Execution PolicyAnnual Meeting of the Association for Computational Linguistics (ACL)Jiye Wang, Yu Wang, Jianbin Li, et al.2026
33. Superficial Success vs. Internal Breakdown: An Empirical Study of Generalization in Adaptive Multi-Agent SystemsFindings of the Association for Computational LinguisticsNamyeong So, Seokgyu Jang, Taeuk Kim2026

56 more papers of our library cite it; they have no page here yet.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/papers/zhuge-2024-language-agents-optimizable-graphs/cited-by/