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Task-Aware Spectral Pruning: A Mixture-of-Masks Framework for Efficient LLM Inference
Static pruning imposes one sparse structure on every prompt, even though reasoning, retrieval, generation, coding, and translation can depend on different parts of a language model. We introduce Task-Aware Spectral Pruning (TASP), a post-training framework that calibrates module-level spectral descr
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