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cs.CV2025
You May Speak Freely: Improving the Fine-Grained Visual Recognition Capabilities of Multimodal Large Language Models with Answer Extraction
Logan Lawrence, Oindrila Saha, Megan Wei +3
Despite the renewed interest in zero-shot visual classification due to the rise of Multimodal Large Language Models (MLLMs), the problem of evaluating free-form responses of auto-r…
cs.CV2025
MS4UI: A Dataset for Multi-modal Summarization of User Interface Instructional Videos
Yuan Zang, Hao Tan, Seunghyun Yoon +5
We study multi-modal summarization for instructional videos, whose goal is to provide users an efficient way to learn skills in the form of text instructions and key video frames.…
cs.CV2023
Pixel Aligned Language Models
Jiarui Xu, Xingyi Zhou, Shen Yan +5
Large language models have achieved great success in recent years, so as their variants in vision. Existing vision-language models can describe images in natural languages, answer…