2 papers
cs.IR2026
Edge-Aware Curvature Modeling for Graph Understanding in Large Language Models
Zhenghong Lin, Zhibin Shi, Hongyang Dong +3
Recently, graph-aware Large Language Models (LLMs) have shown promising capabilities in jointly modeling graph-structured data and textual information. Existing approaches typicall…
cs.CV2026
EvoPrune: Early-Stage Visual Token Pruning for Efficient MLLMs
Yuhao Chen, Bin Shan, Xin Ye +1
Multimodal Large Language Models (MLLMs) have shown strong performance in vision-language tasks, but their inference efficiency is severely limited by the exponential growth of vis…