3 papers
cs.LG2025
A Comprehensive Evaluation on Quantization Techniques for Large Language Models
Yutong Liu, Cairong Zhao, Guosheng Hu
For large language models (LLMs), post-training quantization (PTQ) can significantly reduce memory footprint and computational overhead. Model quantization is rapidly evolving. Tho…
cs.AI2025
Cross-Modal Distillation For Widely Differing Modalities
Cairong Zhao, Yufeng Jin, Zifan Song +3
Deep learning achieved great progress recently, however, it is not easy or efficient to further improve its performance by increasing the size of the model. Multi-modal learning ca…
cs.CV2025
Toward Rich Video Human-Motion2D Generation
Ruihao Xi, Xuekuan Wang, Yongcheng Li +5
Generating realistic and controllable human motions, particularly those involving rich multi-character interactions, remains a significant challenge due to data scarcity and the co…