2 papers
cs.CV2026
NoLan: Mitigating Object Hallucinations in Large Vision-Language Models via Dynamic Suppression of Language Priors
Lingfeng Ren, Weihao Yu, Runpeng Yu +1
Object hallucination is a critical issue in Large Vision-Language Models (LVLMs), where outputs include objects that do not appear in the input image. A natural question arises fro…
cs.CV2025
Top-Down Compression: Revisit Efficient Vision Token Projection for Visual Instruction Tuning
Bonan li, Zicheng Zhang, Songhua Liu +2
Visual instruction tuning aims to enable large language models to comprehend the visual world, with a pivotal challenge lying in establishing an effective vision-to-language projec…