Author

Yunfang Wu

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#artificial intelligence Preprint Sep 2026

Privy to the Foil: Recasting Value Estimation with a Self-Privileged Critic for RLVR

Assigning credit to intermediate steps remains a central challenge in training Large Language Models (LLMs) on multi-step reasoning tasks with sparse terminal rewards, and actor-critic methods such as PPO address this by learning value functions to construct token-level advantages. Their effectiveness, however, hinges...

Kun Liang, Chenming Tang, Clive Bai et al. · 0 citations

Jul 2026

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End

LatentRM is a reward modeling framework that learns intermediate reasoning traces as discrete latent variables to explicitly maximize the likelihood of downstream scalar rewards through on-policy optimization of the latent reasoning space end-to-end.

Sanwoo Lee, Clive Bai, Hsiu-Yuan Huang et al. · arXiv.org · 0 citations