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cs.CL2026
High-Fidelity Pruning for Large Language Models
Yijun Zhu, Jianxin Wang, Chengchao Shen
Large Language Models (LLMs) have demonstrated exceptional performance across a wide range of tasks, yet their significant computational and memory requirements present major chall…
cs.CL2025
SDMPrune: Self-Distillation MLP Pruning for Efficient Large Language Models
Hourun Zhu, Chengchao Shen
In spite of strong performance achieved by LLMs, the costs of their deployment are unaffordable. For the compression of LLMs, gradient-based pruning methods present promising effec…