With the advent and widespread deployment of Multimodal Large Language Models
(MLLMs), the imperative to ensure their safety has become increasingly pronounced …

With the burgeoning growth of online video platforms and the escalating volume of video
content, the demand for proficient video understanding tools has intensified markedly. Given …

This study compared the classification performance of Gemini Pro and GPT-4V in
educational settings. Employing visual question answering (VQA) techniques, the study …

This paper does not present a novel method. Instead, it delves into an essential, yet must-
know baseline in light of the latest advancements in Generative Artificial Intelligence …

Despite significant breakthroughs in video analysis driven by the rapid development of large
multimodal models (LMMs), there remains a lack of a versatile evaluation benchmark to …

When exploring the development of Artificial General Intelligence (AGI), a critical task for
these models involves interpreting and processing information from multiple image inputs …

With the advent and widespread deployment of Multimodal Large Language Models
(MLLMs), ensuring their safety has become increasingly critical. To achieve this objective, it …

As short-form video-sharing platforms become a significant channel for news consumption,
fake news in short videos has emerged as a serious threat in the online information …

Vision-Language Models (VLMs), pre-trained on large-scale datasets, have shown
impressive performance in various visual recognition tasks. This advancement paves the …

Machine-Generated Text (MGT) detection aims to identify a piece of text as machine or
human written. Prior work has primarily formulated MGT detection as a binary classification …