CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain Adaptation.

arXiv:2608.30158v4 Announce Type: replace-cross Abstract: Supervised fine-tuning (SFT) is the de facto standard for adapting large language models (LLMs) to target domains, but it often degrades the model's general capabilities, a phenomenon known as catastrop