Large language models (LLMs), initially limited to text-based processing, faced significant challenges in understanding visual data. This limitation led to ...
To understand social interactions in complex, real-world environments, deep mental reasoning is necessary to infer the underlying mental states that ...
The primary focus of existing multimodal large language models (MLLMs) is on the interpretation of single images, which restricts their ...
This paper presents Show-o, a unified transformer model that integrates multimodal understanding and generation capabilities within a single architecture. As ...
Understanding spoken language for large language models (LLMs) is critical to creating more natural and intuitive interactions with machines. While ...
Large multimodal models (LMMs) are rapidly advancing, driven by the need to develop ai systems capable of processing and generating ...
Integrating science, technology, engineering, arts, and mathematics (STEAM) education into all facets of classroom instruction has become crucial to equipping ...
A key goal in ai development is the creation of general-purpose assistants that use large multimodal models (LMMs). Creating ai ...
Large language models (LMMs) are developing significantly and are proving capable of handling more complex tasks that require a combination ...
Machine learning models that integrate text and images have become critical to improving capabilities in various applications. These multimodal models ...
