3 citations · 3 across the 8 of their papers we have counts for
4 papers · 1 filter
Enhancing Multi-Image Understanding through Delimiter Token Scaling
Minyoung Lee, Yeji Park, Dongjun Hwang +3
Large Vision-Language Models (LVLMs) achieve strong performance on single-image tasks, but their performance declines when multiple images are provided as input. One major reason i…
Mitigating Cross-Image Information Leakage in Multi-Image Understanding with Large Vision-Language Models
Yeji Park, Minyoung Lee, Sanghyuk Chun +1
Large Vision-Language Models (LVLMs) exhibit strong performance on single-image tasks. However, their performance degrades significantly when handling multi-image inputs. While thi…
LMLT: Low-to-high Multi-Level Vision Transformer for Image Super-Resolution
Jeongsoo Kim, Jongho Nang, Junsuk Choe
Recent Vision Transformer (ViT)-based methods for Image Super-Resolution have demonstrated impressive performance. However, they suffer from significant complexity, resulting in hi…
ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models
Yeji Park, Deokyeong Lee, Junsuk Choe +1
Hallucinations in Multimodal Large Language Models (MLLMs) where generated responses fail to accurately reflect the given image pose a significant challenge to their reliability. T…