3 papers
cs.CV2026
Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs
Siyuan Huang, Xiaoye Qu, Yafu Li +6
While autoregressive Large Vision-Language Models (LVLMs) demonstrate remarkable proficiency in multimodal tasks, they face a "Visual Signal Dilution" phenomenon, where the accumul…
cs.CV2025
AdaFV: Rethinking of Visual-Language alignment for VLM acceleration
Jiayi Han, Liang Du, Yiwen Wu +3
The success of VLMs often relies on the dynamic high-resolution schema that adaptively augments the input images to multiple crops, so that the details of the images can be retaine…
cs.LG2025
SLIM: Let LLM Learn More and Forget Less with Soft LoRA and Identity Mixture
Jiayi Han, Liang Du, Hongwei Du +4
Although many efforts have been made, it is still a challenge to balance the training budget, downstream performance, and the general capabilities of the LLMs in many applications.…