2025
Diving into Mitigating Hallucinations from a Vision Perspective for Large Vision-Language Models
EMNLP 2025
Object hallucinations in Large Vision-Language Models (LVLMs) significantly impede their real-world applicability. As the primary component for accurately interpreting visual information, the choice of visual encoder is pivotal. We hypothesize that the diverse training paradigms employed by differen