1 citations · 2 across the 4 of their papers we have counts for
4 papers
MMR: Evaluating Reading Ability of Large Multimodal Models
Jian Chen, Ruiyi Zhang, Yufan Zhou +3
Large multimodal models (LMMs) have demonstrated impressive capabilities in understanding various types of image, including text-rich images. Most existing text-rich image benchmar…
LLaVA-Read: Enhancing Reading Ability of Multimodal Language Models
Ruiyi Zhang, Yufan Zhou, Jian Chen +3
Large multimodal language models have demonstrated impressive capabilities in understanding and manipulating images. However, many of these models struggle with comprehending inten…
Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation
Haolin Pan, Yong Guo, Mianjie Yu +1
Real-world data often follows a long-tailed distribution, where a few head classes occupy most of the data and a large number of tail classes only contain very limited samples. In…
TRINS: Towards Multimodal Language Models that Can Read
Ruiyi Zhang, Yanzhe Zhang, Jian Chen +4
Large multimodal language models have shown remarkable proficiency in understanding and editing images. However, a majority of these visually-tuned models struggle to comprehend th…