🔗 Who cites «Automated Design of Agentic Systems»

81 papers of our library cite it (of the 149,439 whose bibliographies we read) · 27 with a page here, the most cited first · ← back to «Automated Design of Agentic Systems»

1. Agent Laboratory: Using LLM Agents as Research AssistantsarXiv:2501.04227Samuel Schmidgall, Yusheng Su, Ze Wang, et al.2025 · 139 citations
2. 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
3. AFlow: Automating Agentic Workflow GenerationarXiv:2410.10762Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu, et al.2024 · 95 citations
4. CycleResearcher: Improving Automated Research via Automated ReviewarXiv:2411.00816Yixuan Weng, Minjun Zhu, Guangsheng Bao, et al.2024 · 65 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. An AI system to help scientists write expert-level empirical softwareNatureEser Aygün, Anastasiya Belyaeva, Gheorghe Comanici, et al.2025 · 27 citations
7. ChemAgent: Self-updating Library in Large Language Models Improves Chemical ReasoningarXiv:2501.06590Xiangru Tang, Tianyu Hu, Muyang Ye, et al.2025 · 15 citations
8. AutoAgent: A Fully-Automated and Zero-Code Framework for LLM AgentsFindings of the Association for Computational LinguisticsJiabin Tang, Tianyu Fan, Chao Huang2026 · 13 citations
9. 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
10. EVOTOOL: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and Diversity-Aware SelectionAnnual Meeting of the Association for Computational Linguistics (ACL)Shuo Yang, Caren Han, Xueqi Ma, et al.2026 · 6 citations
11. 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
12. Self-Evolving Multi-Agent Systems via Textual BackpropagationFindings of the Association for Computational LinguisticsXiaowen Ma, Yunpu Ma, Chenyang Lin, et al.2026 · 3 citations
13. 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
14. 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
15. ComfyUI-R1: Exploring Reasoning Models for Workflow GenerationFindings of the Association for Computational LinguisticsZhenran Xu, Yiyu Wang, Xue Yang, et al.2026 · 1 citation
16. 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
17. 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
18. Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based OptimizersConference of the European Chapter of the Association for Computational Linguistics (EACL)Andrew Zhao, Reshmi Ghosh, Vitor R. Carvalho, et al.2026
19. Attribution-Based Analysis and Optimization of Modular Agentic WorkflowsFindings of the Association for Computational LinguisticsYingxuan Yang, Bo Huang, Siyuan Qi, et al.2026
20. 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
21. ComfyFlow: Benchmarking LLMs for AIGC Workflow GenerationFindings of the Association for Computational LinguisticsZhenran Xu, Yiyu Wang, Yunxin Li, et al.2026
22. 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
23. 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
24. 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
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. Multi-Agent Procedural Graph Extraction with Structural and Logical RefinementFindings of the Association for Computational LinguisticsWangyang Ying, Yanchi Liu, Xujiang Zhao, 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

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