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cs.CL2026
Correlation-Aware Structured Pruning for Large Language Models
Sicheng Xu, Hao Shi, Wei Zhang +6
Structured pruning is a promising approach for reducing the substantial inference costs of Large Language Models (LLMs) while maintaining hardware efficiency. Many existing methods…
cs.IT2026
Tight Lower Bounds on The Single-Error Detection Threshold for Analog Error-Correcting Codes
Zhengyi Jiang, Wenhao Liu, Zhongyi Huang +3
Analog error-correcting codes (Analog ECCs) for approximate vector-matrix multiplication have been extensively studied as means to achieve fault-tolerant in-memory computation. The…