Showing 2026Show all
2 papers · 1 filter
cs.CL2026
CPR for LLMs: Critical-Point Routing against Catastrophic Forgetting in Domain Adaptation
Kwangmin Ki, Yunhun Nam, Jongheon Jeong +1
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 phenome…
cs.LG2026
Diet Your LLM: Dimension-wise Global Pruning of LLMs via Merging Task-specific Importance Score
Jimyung Hong, Jaehyung Kim
Large language models (LLMs) have demonstrated remarkable capabilities, but their massive scale poses significant challenges for practical deployment. Structured pruning offers a p…