Grounding Everything in Tokens for Multimodal Large Language Models

This article, sourced from ArXiv, likely discusses a novel approach to integrating different data modalities (text, images, audio, etc.) within a large language model framework. The core idea seems to be representing all inputs as tokens, which is a common technique in NLP but its application to multimodal data suggests a potentially innovative architecture. The focus on 'grounding' implies an emphasis on establishing relationships and understanding the connections between different data types within the model.