3 papers
cs.CV2026
Coverage-Driven Adaptive Keyframe Selection for Video Understanding
Junyang Zhang, Puhan Luo, Chen Tang +2
Recent advances in large vision-language models (LVLMs) have enabled long-video understanding and analysis. However, processing the large number of frames in a video incurs substan…
cs.CR2025
DERMARK: A Dynamic, Efficient and Robust Multi-bit Watermark for Large Language Models
Qihao Lin, Chen Tang, Lan zhang +2
As large language models (LLMs) grow more powerful, concerns over copyright infringement of LLM-generated texts have intensified. LLM watermarking has been proposed to trace unauth…
cs.AI2025
A-VL: Adaptive Attention for Large Vision-Language Models
Junyang Zhang, Mu Yuan, Ruiguang Zhong +5
The Large Vision-Language Model (LVLM) integrates computer vision and natural language processing techniques, offering substantial application potential. However, these models dema…