🔗 Who cites «Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization»

29 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization»

1. WebWalker: Benchmarking LLMs in Web TraversalAnnual Meeting of the Association for Computational Linguistics (ACL)Jialong Wu, Wenbiao Yin, Yong Jiang, et al.2025 · 72 citations
2. Symbolic Learning Enables Self-Evolving AgentsarXiv:2406.18532Wangchunshu Zhou, Yixin Ou, Shengwei Ding, et al.2024 · 34 citations
3. Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqi Zhang, Mengna Wang, Gangao Liu, et al.2026 · 5 citations
4. Foresight Optimization for Strategic Reasoning in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jessie Wang, Jiawen Duan, Jian Wang, et al.2026 · 2 citations
5. PARL: Prompt-based Agents for Reinforcement LearningLanguage Resources and Evaluation Conference (LREC)Yarik Menchaca Resendiz, Roman Klinger2026
6. 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
7. Speculative End-Turn Detector for Efficient Speech Chatbot AssistantAnnual Meeting of the Association for Computational Linguistics (ACL)Hyunjong Ok, Suho Yoo, Jaeho Lee2026

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

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