← Search

Chengxing Zhou

2 accepted papers

2025

Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference

ACL 2025long

Large Vision-Language Models (LVLMs) typically learn visual capacity through visual instruction tuning, involving updates to both a projector and their LLM backbones. Inspired by the concept of a visual region in the human brain, we investigate the existence of an analogous visual region within LLMs…

2025

Can We Achieve Efficient Diffusion Without Self-Attention? Distilling Self-Attention into Convolutions

ICCV 2025poster

Contemporary diffusion models built upon U-Net or Diffusion Transformer (DiT) architectures have revolutionized image generation through transformer-based attention mechanisms. The prevailing paradigm has commonly employed self-attention with quadratic computational complexity to handle global spati…

Cited by 0SourcePDFScholar