most citedReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

6 citations · 17 across the 7 of their papers we have counts for

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cs.LG2025★ 1 cited

TDRM: Smooth Reward Models with Temporal Difference for LLM RL and Inference

Dan Zhang, Min Cai, Jonathan Light +3

Reward models are central to both reinforcement learning (RL) with language models and inference-time verification. However, existing reward models often lack temporal consistency,…

cs.LG2025

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search

Zhenyu Hou, Ziniu Hu, Yujiang Li +3

Reinforcement learning (RL) with tree search has demonstrated superior performance in traditional reasoning tasks. Compared to conventional independent chain sampling strategies wi…