HyperRepair recovers general capabilities of fine-tuned language models at inference cost while preserving domain specialization
Read the original at arxiv.org→arXiv:2610.41147v1 Announce Type: new Abstract: Fine-tuning improves a language model's performance in a target domain but can weaken its general capabilities. Existing methods often face a trade-off between general...
Original headline: "HyperRepair: Recovering Forgotten General Capabilities of Fine-Tuned Language Models"
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- Nov 2, 05:00 UTC arXiv cs.CL lead source HyperRepair: Recovering Forgotten General Capabilities of Fine-Tuned Language Models