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When Implausible Tokens Get Reinforced: Tail-Aware Credit Calibration for LLM Reinforcement Learning

The paper identifies a credit assignment failure in critic-free reinforcement learning for language models and proposes a tail-aware calibration method to address it.

Impact
52/100
Current rank score
26.21
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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