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Predicting Privileged Information Effectiveness for On-Policy Self-Distillation

arXiv:2610.22512v1 Announce Type: new Abstract: On-policy self-distillation (OPSD) enables large language models (LLMs) to learn from privileged information (PI) without a separate teacher model. However, prior work largely treats PI as a fixed design choice, leaving the effects of its content and…

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  1. 2026-10-19 04:00 · arXiv cs.LG
    Predicting Privileged Information Effectiveness for On-Policy Self-Distillation

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