🔗 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»

1. SPARK: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic LearningAnnual Meeting of the Association for Computational Linguistics (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 ModelsFindings of the Association for Computational LinguisticsHieu Tran, Zonghai Yao, Hong yu2026
3. MDocRAG-RL: Empowering Multi-Modal Document RAG via Complex Visual Reasoning with Reinforcement LearningFindings of the Association for Computational LinguisticsZhongyu Wang2026

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

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