arXiv AI
CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain Adaptation
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CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain Adaptation
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 catastr...
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Ban&Pick: Enhancing Performance and Efficiency of MoE-LLMs via Smarter Routing
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