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Robust Failure, Conservative Repair: Textual Knowledge Distillation from Cross-Model Failures

arXiv:2609.25400v1 Announce Type: new Abstract: Failure-based textual knowledge distillation aims to discover gaps in a model's knowledge by examining its task errors. The distilled knowledge can be useful for the reasoning of both this model ("source model") and other models. However, this transfe…

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  1. 2026-09-23 04:00 · arXiv cs.AI
    Robust Failure, Conservative Repair: Textual Knowledge Distillation from Cross-Model Failures

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