1 citations · 3 across the 9 of their papers we have counts for
4 papers · 1 filter
MM-R: On (In-)Consistency of Vision-Language Models (VLMs)
Shih-Han Chou, Shivam Chandhok, James J. Little +1
With the advent of LLMs and variants, a flurry of research has emerged, analyzing the performance of such models across an array of tasks. While most studies focus on evaluating th…
Response Wide Shut: Surprising Observations in Basic Vision Language Model Capabilities
Shivam Chandhok, Wan-Cyuan Fan, Leonid Sigal
Vision-Language Models (VLMs) have emerged as general purpose tools for addressing a variety of complex computer vision problems. Such models have been shown to be highly capable,…
On Pre-training of Multimodal Language Models Customized for Chart Understanding
Wan-Cyuan Fan, Yen-Chun Chen, Mengchen Liu +2
Recent studies customizing Multimodal Large Language Models (MLLMs) for domain-specific tasks have yielded promising results, especially in the field of scientific chart comprehens…
Multi-modal News Understanding with Professionally Labelled Videos (ReutersViLNews)
Shih-Han Chou, Matthew Kowal, Yasmin Niknam +8
While progress has been made in the domain of video-language understanding, current state-of-the-art algorithms are still limited in their ability to understand videos at high leve…