2 papers
cs.IR2026
PreGress: Ranking-Native Pre-training and Prompting for Graph Node Ranking
Lujie Ban, Jiasheng shi, Yingli Zhou +5
Node ranking is a fundamental problem in graph information retrieval, measuring the relative importance of nodes and supporting a wide range of applications such as influence analy…
cs.AI2026
Learning to Predict Middle-Layer Attention in MLLMs for Visual Token Prunin
Yuyao Sun, Tao Deng, Shuang Li +3
Multimodal large language models (MLLMs) achieve strong performance across diverse vision-language tasks, but their efficiency is limited by the cost of processing numerous visual…