Visual Expert

Visual expert research focuses on enhancing the visual understanding capabilities of large language models (LLMs) and multimodal models, aiming to bridge the gap between visual input and textual understanding. Current research emphasizes improving visual perception through techniques like incorporating multiple visual encoders (experts) specialized in different visual tasks, developing high-resolution visual processing, and refining visual prompting strategies to guide model interpretation. This work is significant for advancing artificial intelligence, particularly in applications requiring complex visual reasoning, such as medical image analysis, document understanding, and creative design, where accurate and nuanced visual interpretation is crucial.