AI RESEARCH
Automatic Pruning Discovery for Large Language Models
arXiv CS.CV
•
ArXi:2511.15390v2 Announce Type: replace Large language models (LLMs) have achieved remarkable performance on a wide range of tasks, hindering real-world deployment due to their massive size. Existing pruning methods (e.g., Wanda) tailored for LLMs rely heavily on manual design pruning algorithms, thereby leading to huge labor costs and requires expert knowledge.