34 citations · 40 across the 5 of their papers we have counts for
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cs.CL2025
Improving Generalization in LLM Structured Pruning via Function-Aware Neuron Grouping
Tao Yu, Yongqi An, Kuan Zhu +3
Large Language Models (LLMs) demonstrate impressive performance across natural language tasks but incur substantial computational and storage costs due to their scale. Post-trainin…
cs.CL2025★ 1 cited
Systematic Outliers in Large Language Models
Yongqi An, Xu Zhao, Tao Yu +2
Outliers have been widely observed in Large Language Models (LLMs), significantly impacting model performance and posing challenges for model compression. Understanding the functio…
cs.CL2023★ 3 cited
Fluctuation-based Adaptive Structured Pruning for Large Language Models
Yongqi An, Xu Zhao, Tao Yu +2
Network Pruning is a promising way to address the huge computing resource demands of the deployment and inference of Large Language Models (LLMs). Retraining-free is important for…