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OpenJev-RLCD: A Working RLCD Implementation

Gao, Zhimin et al.
arXiv (All) · Papers
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computation-and-language
Decision models such as Jev answer questions with probabilities, which are only useful if they are calibrated. Open-source reproductions rely on supervised fine-tuning plus temperature scaling, while reinforcement learning from verifiable rewards (RLVR) makes reasoning models overconfident. We prese
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