AI RESEARCH
Capability-Guided Compression: Toward Interpretability-Aware Budget Allocation for Large Language Models
arXiv CS.LG
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ArXi:2603.16440v1 Announce Type: new Large language model compression has made substantial progress through pruning, quantization, and low-rank decomposition, yet a fundamental limitation persists across all existing methods: compression budgets are allocated without any representation of what individual model components functionally encode.