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arXiv — cs.AI

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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.…

arXiv — cs.AIBy: Andrew Ren, Haokun Liu, Chenhao TanSeptember 23, 2026 (Sep 23)
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  • 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.…
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Robust Failure, Conservative Repair: Textual Knowledge Distillation from Cross-Model Failures

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