3 papers
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.CV2025
Diversity-Guided MLP Reduction for Efficient Large Vision Transformers
Chengchao Shen, Hourun Zhu, Gongfan Fang +2
Transformer models achieve excellent scaling property, where the performance is improved with the increment of model capacity. However, large-scale model parameters lead to an unaf…
cs.CV2025
Multiple Object Stitching for Unsupervised Representation Learning
Chengchao Shen, Dawei Liu, Jianxin Wang
Contrastive learning for single object centric images has achieved remarkable progress on unsupervised representation, but suffering inferior performance on the widespread images w…