Search Results for author:
Found 2 papers, 0 papers with code
RITUAL: Random Image Transformations as a Universal Anti-hallucination Lever in Large Vision Language Models
By integrating the probability distributions from both the original and transformed images, RITUAL effectively reduces hallucinations.
Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Models
This study addresses the issue observed in Large Vision Language Models (LVLMs), where excessive attention on a few image tokens, referred to as blind tokens, leads to hallucinatory responses in tasks requiring fine-grained understanding of visual objects.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
