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cs.CV2025
Long-Tailed Distribution-Aware Router For Mixture-of-Experts in Large Vision-Language Model
Chaoxiang Cai, Longrong Yang, Minghe Weng +3
The mixture-of-experts (MoE) architecture, which replaces dense networks with sparse ones, has attracted significant attention in large vision-language models (LVLMs) for achieving…
cs.MM2025
Mitigating Image Captioning Hallucinations in Vision-Language Models
Fei Zhao, Chengcui Zhang, Runlin Zhang +2
Hallucinations in vision-language models (VLMs) hinder reliability and real-world applicability, usually stemming from distribution shifts between pretraining data and test samples…