5 papers
Decoupling semantics from vision: A framework for faithful visual-text compression evaluation
Yonghan Gao, Zehong Chen, Lijian Xu +3
Recent visual-text compression (VTC) methods, typified by DeepSeek-OCR, report impressive high token compression ratios for long-context modeling tasks by leveraging text-to-image…
PathSelect: Sequential Token Selection for Whole Slide Pathology
Jingzhi Chen, Landi He, Zehong Chen +2
Gigapixel Whole-Slide Images (WSIs) present a fundamental computational bottleneck for vision-language models (VLMs) due to extreme sequence lengths. Existing approaches predominan…
Learnable Token Sparsification for Efficient Gigapixel Whole Slide Image Reasoning
Jingzhi Chen, Landi He, Zhuo Chen +2
The processing of gigapixel whole slide images within vision language models faces a major difficulty due to an excessive number of visual tokens. Existing solutions typically rely…
From Snapshots to Symphonies: The Evolution of Protein Prediction from Static Structures to Generative Dynamics and Multimodal Interactions
Jingzhi Chen, Lijian Xu
The protein folding problem has been fundamentally transformed by artificial intelligence, evolving from static structure prediction toward the modeling of dynamic conformational e…
ZeroSense:How Vision matters in Long Context Compression
Yonghan Gao, Zehong Chen, Lijian Xu +3
Recent visual-text compression (VTC) methods, typified by DeepSeek-OCR, report impressive high token compression ratios for long-context modeling tasks by leveraging text-to-image…