Misinformation such as fake news and rumors is a serious threat for information ecosystems
and public trust. The emergence of large language models (LLMs) has great potential to …

Connecting text and visual modalities plays an essential role in generative intelligence. For
this reason, inspired by the success of large language models, significant research efforts …

The growing interest in vision-language models (VLMs) has been driven by improvements in
large language models and vision transformers. Despite the abundance of literature on this …

Abstract Large Multimodal Models (LMMs) have shown promise in vision-language tasks but
struggle with high-resolution input and detailed scene understanding. Addressing these …

Humans can easily solve multimodal tasks in context with only a few demonstrations or
simple instructions which current multimodal systems largely struggle to imitate. In this work …

Large policies pretrained on a combination of Internet-scale vision-language data and
diverse robot demonstrations have the potential to change how we teach robots new skills …

Visually-conditioned language models (VLMs) have seen growing adoption in applications
such as visual dialogue, scene understanding, and robotic task planning; adoption that has …

This paper addresses the task of video question answering (videoQA) via a decomposed
multi-stage modular reasoning framework. Previous modular methods have shown promise …

Multilingual Large Language Models are capable of using powerful Large Language
Models to handle and respond to queries in multiple languages, which achieves remarkable …

Recent breakthroughs in vision-language models (VLMs) start a new page in the vision
community. The VLMs provide stronger and more generalizable feature embeddings …