Multi Modal Dialogue

Multimodal dialogue research focuses on developing systems that can understand and generate conversations incorporating multiple modalities like text, images, audio, and even sensor data. Current efforts concentrate on improving model architectures, such as end-to-end models and those leveraging large language models, to better handle the complexities of integrating and interpreting diverse information streams within a conversational context. This field is significant because it promises more natural and intuitive human-computer interaction across various applications, from virtual assistants and educational tools to medical diagnosis and scientific research. The development of robust evaluation benchmarks is also a key area of focus, enabling more rigorous comparison and advancement of multimodal dialogue systems.