ArXiv research paper on structured reduction techniques for large language models using compressed sensing guidance. Addresses inference efficiency optimization for LLMs through inference-aware model compression.
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Compressed-Sensing-Guided, Inference-Aware Structured Reduction for Large Language Models
Compressed sensing techniques guide inference-aware structural reduction of LLMs, enabling smaller models with maintained performance for efficient edge deployment.
Friday, April 17, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline
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models