Abstract: Recent advances in large vision-language models (LVLMs) typically employ vision encoders based on the Vision Transformer (ViT) architecture. The division of the images into patches by ViT ...
Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three ...
Latent spaces are abstract, high-dimensional areas within neural networks where patterns and relationships are encoded, but ...
Abstract: Traditional transmission line inspection, which relies on manual recording of fault information, is prone to ambiguity. The semantics generated by general image description models suffer ...
aThe Windreich Department of Artificial Intelligence and Human Health, Mount Sinai Health System, New York, NY, USA bThe Hasso Plattner Institute for Digital Health at Mount Sinai, Mount Sinai Health ...
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