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papersSEP 10 04:00 UTC

Generative Critics Proposed for Value Modeling in LLM Reinforcement Learning

A cross-listed arXiv paper revisits learned value models, which are often avoided in LLM reinforcement learning, and proposes using generative critics in their place. The approach targets the credit assignment problem by enabling fine-grained advantage estimation in the style of classical actor-critic methods during RL training.

Generative Critics actor-critic-methods advantage-estimation credit assignment llm-reinforcement-learning value-modeling

COVERAGE · 3 REPORTS · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.CLBringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning ↗SEP 10 04:00 UTC

arXiv cs.AIBringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning ↗SEP 10 04:00 UTC

arXiv cs.LGBringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning ↗SEP 10 04:00 UTC