AI Research
CAST: Non-Privileged Clipped Asymmetric Self-Teaching with Advantage Flipping for GRPO
A new self-teaching framework optimizing reinforcement learning for better mathematical reasoning in LLMs.
Reinforcement learning with verifiable rewards (RLVR), especially Group Relative Policy Optimization (GRPO), has been widely used to improve reasoning in large language models. However, outcome-level rewards provide only sparse supervision, and group-relative advantages vanish wh...
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ArXiv CS.AI
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ArXiv CS.AI
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CAST bridges the gap between sparse outcome-level rewards and dense token-level feedback by dynamically shaping advantages based on trajectory correctness. This advancement allows language models to extract meaningful reasoning signals even when traditional RL methods fail due to uniform group performance.
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