Brown University

Do AI language models ‘understand’ the real world? On a basic level, they do, a new study finds

New research shows that AI language models can develop a mathematical “understanding” that differentiates between events that ...

Cross-Modal Data Understanding Advances Through Bukun Ren’s Review of Visual Language Models

A study on visual language models explores how shared semantic frameworks improve image–text understanding across ...
IEEE

Prompting Large Language Models with Fine-Grained Visual Relations from Scene Graph for Visual Question Answering

Abstract: Visual Question Answering (VQA) is a task that requires models to comprehend both questions and images. An increasing number of works are leveraging the strong reasoning capabilities of ...
IEEE

OmniParser V2: Structured-Points-of-Thought for Unified Visual Text Parsing and Its Generality to Multimodal Large Language Models

Abstract: Visually-situated text parsing (VsTP) has recently seen notable advancements, driven by the growing demand for automated document understanding and the emergence of large language models ...