Abstract: Currently, text-to-image diffusion models, which exhibit remarkable proficiency in image generation, have prompted the emergence of diverse fine-tuning methodologies due to the considerable ...

We introduce OneCAT, a unified multimodal model that seamlessly integrates understanding, generation, and editing within a novel, pure decoder-only transformer architecture. Our framework uniquely ...

This project proposes a generative framework integrating diffusion transformers with a novel algebraic language representation, encoding 3D shell metamaterial geometries as mathematical sentences for ...

Abstract: Connectionist temporal classification (CTC) is one of the predominant schemes for end-to-end speech recognition because of its simplicity, efficiency and reliability. However, as a sequence ...

Methods: We evaluated 17 encoder and decoder models using J-CaseMap, a database of approximately 20,000 Japanese case reports annotated with clinical concepts. Performance was primarily assessed using ...