AI RESEARCH
Diet Your LLM: Dimension-wise Global Pruning of LLMs via Merging Task-specific Importance Score
arXiv CS.LG
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ArXi:2603.23985v1 Announce Type: new Large language models (LLMs) have nstrated remarkable capabilities, but their massive scale poses significant challenges for practical deployment. Structured pruning offers a promising solution by removing entire dimensions or layers, yet existing methods face critical trade-offs: task-agnostic approaches cannot adapt to task-specific requirements, while task-aware methods require costly