---
title: "Who cites Agent-Pro: Learning to Evolve via — 29 citing papers"
description: "29 papers of the Elamur Research library cite «Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization», found in their…"
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---
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# 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) · 8 with a page here, the most cited first · [← back to «Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization»](https://md.research.elamur.ai/free/en/papers/zhang-2024-agent-pro-learning-evolve-policy/)

1. [**Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models arXiv:2501.09686**Fengli Xu, Qianyue Hao, Zefang Zong, et al.*2025 · 120 citations*](https://md.research.elamur.ai/free/en/papers/xu-2025-towards-large-reasoning-models-survey/)
2. **[WebWalker: Benchmarking LLMs in Web Traversal](https://md.research.elamur.ai/free/en/papers/wu-2025-webwalker-benchmarking-llms-web-traversal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jialong Wu, Wenbiao Yin, Yong Jiang, et al.*2025 · 72 citations*
3. [**Symbolic Learning Enables Self-Evolving Agents arXiv:2406.18532**Wangchunshu Zhou, Yixin Ou, Shengwei Ding, et al.*2024 · 34 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2024-symbolic-learning-enables-self-evolving/)
4. **[Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks](https://md.research.elamur.ai/free/en/papers/zhang-2026-embodied-reasoner-synergizing-visual-search/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenqi Zhang, Mengna Wang, Gangao Liu, et al.*2026 · 5 citations*
5. **[Foresight Optimization for Strategic Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-foresight-optimization-strategic-reasoning-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jessie Wang, Jiawen Duan, Jian Wang, et al.*2026 · 2 citations*
6. **[PARL: Prompt-based Agents for Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/resendiz-2026-parl-prompt-based-agents-reinforcement/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yarik Menchaca Resendiz, Roman Klinger*2026*
7. **[Seeing Isn't Believing: Mitigating Belief Inertia via Active Intervention in Embodied Agents](https://md.research.elamur.ai/free/en/papers/wang-2026-seeing-isn-t-believing-mitigating/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hanlin Wang, Chak Tou Leong, Jian Wang, et al.*2026*
8. **[Speculative End-Turn Detector for Efficient Speech Chatbot Assistant](https://md.research.elamur.ai/free/en/papers/ok-2026-speculative-end-turn-detector-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hyunjong Ok, Suho Yoo, Jaeho Lee*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/zhang-2024-agent-pro-learning-evolve-policy/) — Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization