New RL Method Fixes 'Implausible Token' Reinforcement in LLMs
A new calibration method, TACC, stops reinforcement learning from rewarding incorrect steps in otherwise correct reasoning chains. It assigns credit token-by-token, not to the entire sequence.
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Reinforcement learning (RL) has become a central component of post-training large language models (LLMs), yet little is understood about how
arxiv.org·9d agoStudy Finds Single Transformer Layer Can Match Full-Parameter RL Training in LLMs
Reinforcement learning (RL) has become a central component of post-training large language models (LLMs), yet little is understood about how
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