ReLAR uses reinforcement-guided latent refinement with adaptive controllers to improve LLM reasoning accuracy and stability at lower inference cost than explicit reasoning methods.
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Learning to Refine Hidden States for Reliable LLM Reasoning
ReLAR uses reinforcement-guided latent refinement with adaptive controllers to improve LLM reasoning accuracy and stability at lower inference cost than explicit reasoning methods.