Multimodal Reasoning

Multimodal Reasoning refers to the capability of performing inference on multimodal input data, aiming to integrate and process information from different senses or sources, such as text, images, and audio, to achieve a more comprehensive and accurate understanding. The goal of this task is to enhance the cognitive level and decision-making ability of machines in complex scenarios through cross-modal fusion and interaction. It has broad application value, including but not limited to intelligent assistants, autonomous driving, and medical diagnosis.