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

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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,…