◇ Learning More by Training Less: Uncertainty-Guided Progressive Contraction for Efficient Reasoning Post-Training

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    "summary": "Large language models have achieved remarkable advances in complex reasoning. However, scaling reasoning post-training with ever-larger corpora can substantially increase training cost without proportional performance gains. In this study, we therefore ask: how far can reasoning supervision be compressed without sacrificing capability? To this end, we propose an uncertainty-guided progressive cont",
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        "Suorong Yang",
        "Jiaxin Wang",
        "Jiaming Su",
        "Chentao Yue",
        "Furao Shen",
        "Peng Ye",
        "Soujanya Poria"
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