#VITA

VITA is an open-source model that processes video, image, text, and audio simultaneously, enhancing capabilities in multilingual, vision, and audio tasks. It features non-awakening and audio interrupt interactions for real-time queries without manual activation, employing state token differentiation and a duplex scheme for adaptive responses during user interruptions. VITA's advanced processing abilities support diverse multimodal applications.

Examine the comprehensive survey on Multimodal Large Language Models (MLLMs), featuring the innovative VITA system for integrating video, image, text, and audio. Learn about Video-MME, a key evaluation benchmark in video analysis for MLLMs, and explore MME's wide-ranging assessment. Discover Woodpecker's role in improving hallucination correction, with a focus on multilingual, vision, and audio capabilities. Access a diverse range of datasets and benchmarks advancing multimodal instruction tuning and visual reasoning. The repository showcases leading models such as Gemini and GPT-4V, providing essential resources for research in multimodal AI.