---
title: "Who cites TreeRL: LLM Reinforcement — 21 citing papers"
description: "21 papers of the Elamur Research library cite «TreeRL: LLM Reinforcement Learning with On-Policy Tree Search», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/hou-2025-treerl-llm-reinforcement-learning-policy/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [TreeRL: LLM Reinforcement Learning with On-Policy…](https://md.research.elamur.ai/free/en/papers/hou-2025-treerl-llm-reinforcement-learning-policy/) / cited by

# Who cites «TreeRL: LLM Reinforcement Learning with On-Policy Tree Search»

21 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «TreeRL: LLM Reinforcement Learning with On-Policy Tree Search»](https://md.research.elamur.ai/free/en/papers/hou-2025-treerl-llm-reinforcement-learning-policy/)

1. **[SPARK: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic Learning](https://md.research.elamur.ai/free/en/papers/wu-2026-spark-strategic-policy-aware-exploration/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinyang Wu, Shuo Yang, Yuhao Shen, et al.*2026 · 11 citations*
2. **[Exploiting Tree Structure for Credit Assignment in Reinforcement Learning with Large Language Models](https://md.research.elamur.ai/free/en/papers/tran-2026-exploiting-tree-structure-credit-assignment/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hieu Tran, Zonghai Yao, Hong yu*2026*
3. **[MDocRAG-RL: Empowering Multi-Modal Document RAG via Complex Visual Reasoning with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wang-2026-mdocrag-rl-empowering-multi-modal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhongyu Wang*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/hou-2025-treerl-llm-reinforcement-learning-policy/) — TreeRL: LLM Reinforcement Learning with On-Policy Tree Search