1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025★ 1 cited
Input Domain Aware MoE: Decoupling Routing Decisions from Task Optimization in Mixture of Experts
Yongxiang Hua, Haoyu Cao, Zhou Tao +4
Sparse Mixture of Experts (sMoE) has become a pivotal approach for scaling large vision-language models, offering substantial capacity while maintaining computational efficiency th…
cs.IR2025
Large Reasoning Embedding Models: Towards Next-Generation Dense Retrieval Paradigm
Jianting Tang, Dongshuai Li, Tao Wen +3
In modern e-commerce search systems, dense retrieval has become an indispensable component. By computing similarities between query and item (product) embeddings, it efficiently se…
cs.AI2025
Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images
Yubo Wang, Jianting Tang, Chaohu Liu +1
Large vision-language models (LVLMs) have demonstrated remarkable image understanding and dialogue capabilities, allowing them to handle a variety of visual question answering task…