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.…
- 01.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
- 02.The distilled knowledge can be useful for the reasoning of both this model ("source model") and other models.…
This material is provided as an extended analytical summary.
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