🔗 Who cites «AFlow: Automating Agentic Workflow Generation»

88 papers of our library cite it (of the 149,439 whose bibliographies we read) · 31 with a page here, the most cited first · ← back to «AFlow: Automating Agentic Workflow Generation»

1. 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
2. Agent Laboratory: Using LLM Agents as Research AssistantsarXiv:2501.04227Samuel Schmidgall, Yusheng Su, Ze Wang, et al.2025 · 139 citations
3. Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language ModelsarXiv:2501.09686Fengli Xu, Qianyue Hao, Zefang Zong, et al.2025 · 120 citations
4. Data Interpreter: An LLM Agent for Data ScienceFindings of the Association for Computational LinguisticsSirui Hong, Yizhang Lin, Bang Liu, et al.2025 · 91 citations
5. 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
6. AutoAgent: A Fully-Automated and Zero-Code Framework for LLM AgentsFindings of the Association for Computational LinguisticsJiabin Tang, Tianyu Fan, Chao Huang2026 · 13 citations
7. ReCreate: Reasoning and Creating Domain Agents Driven by ExperienceAnnual Meeting of the Association for Computational Linguistics (ACL)Zhezheng Hao, Hong Wang, Jian Luo, et al.2026 · 8 citations
8. 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
9. Mem²Evolve: Towards Self-Evolving Agents via Co-Evolutionary Capability Expansion and Experience DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Zihao Cheng, Zeming Liu, Yingyu Shan, et al.2026 · 5 citations
10. Self-Evolving Multi-Agent Systems via Textual BackpropagationFindings of the Association for Computational LinguisticsXiaowen Ma, Yunpu Ma, Chenyang Lin, et al.2026 · 3 citations
11. 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
12. MedDCR: Learning to Design Agentic Workflows for Medical CodingFindings of the Association for Computational LinguisticsJiyang Zheng, Islam Nassar, Thanh Vu, et al.2026 · 2 citations
13. ComfyUI-R1: Exploring Reasoning Models for Workflow GenerationFindings of the Association for Computational LinguisticsZhenran Xu, Yiyu Wang, Xue Yang, et al.2026 · 1 citation
14. Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language ModelsFindings of the Association for Computational LinguisticsXudong Wang, Chaoning Zhang, Chenghao Li, et al.2026
15. 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
16. 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
17. Beyond Static Toolsets: Self-Evolving LLM Tool Agents via Continual Documentation AdaptationFindings of the Association for Computational LinguisticsBin Wu, Edgar Meij, Emine Yilmaz2026
18. 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
19. ComfyFlow: Benchmarking LLMs for AIGC Workflow GenerationFindings of the Association for Computational LinguisticsZhenran Xu, Yiyu Wang, Yunxin Li, et al.2026
20. Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent SystemsFindings of the Association for Computational LinguisticsZixu Wang, Bingbing Xu, Yige Yuan, et al.2026
21. 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
22. 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
23. Grammar Search for Multi-Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Mayank Singh, Vikas Yadav, Shiva Krishna Reddy Malay, et al.2026
24. Graph-Assisted Large Language Models: A Perspective on Mitigating Intrinsic LimitationsFindings of the Association for Computational LinguisticsHaitong Luo, Fali Wang, Weiyao Zhang, et al.2026
25. 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
26. Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving MemoryAnnual Meeting of the Association for Computational Linguistics (ACL)Derong Xu, Shuochen Liu, Pengfei Luo, et al.2026
27. 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
28. Reinforcing Agentic Search Via Reward Density OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Kun Luo, Hongjin Qian, Zheng Liu, et al.2026
29. RouterHGC: Optimized Router for LLM-based Multi-Agent Systems via Heterogeneous Graph Contrastive LearningFindings of the Association for Computational LinguisticsYitao Xiao, Shaoyong Guo, Guoming Yang, et al.2026
30. 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
31. TPS-Bench: Evaluating AI Agents' Tool Planning & Scheduling Abilities in Compounding TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Hanwen Xu, Xuyao Huang, Yuzhe Liu, et al.2026

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

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