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Jinlong Pang

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#machine learning Jun 2026

CODEBLOCK: Learning to Supervise Code at the Right Granularity

Experiments show that partial supervision over only about 6.9% of response tokens consistently outperforms full-token SFT across all five model settings, suggesting that effective code SFT depends not only on identifying high-value supervision, but also on allocating it at the appropriate structural granularity.

Zhi-Jie Deng, Ling Li, Jinlong Pang et al. · arXiv.org · 1 citation