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Huawei
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ACRL stabilizes RL training while boosting exploration, outperforming traditional methods even under low-precision inference conditions.
RLVR's reasoning gains hinge on high-entropy tokens, revealing a critical inefficiency in uniform reward broadcast that EAPO effectively addresses.
