#value-modeling News & Analysis

2 articles tagged with #value-modeling. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · Jun 237/10

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VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training

Researchers propose VRPO, a reinforcement learning framework that strengthens value modeling to handle noisy reward signals in large language model post-training. The approach uses auxiliary losses and information bottleneck techniques to enable value models to filter noise and generate more reliable advantage estimates, outperforming standard methods like PPO and GRPO across dialogue, math, and QA tasks.

🏢 Perplexity

AIBullisharXiv – CS AI · Apr 147/10

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Bringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning

Researchers propose Generative Actor-Critic (GenAC), a new approach to value modeling in large language model reinforcement learning that uses chain-of-thought reasoning instead of one-shot scalar predictions. The method addresses a longstanding challenge in credit assignment by improving value approximation and downstream RL performance compared to existing value-based and value-free baselines.