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