近日，来自新加坡国立大学、南洋理工大学以及哈尔滨工业大学深圳校区的研究团队共同推出了首个视频思维链推理框架——Video-of-Thought（VoT），这一创新标志着大模型推理领域在视频处理技术上取得了重大突破。VoT框架的提出，不仅填补了面向视频的思维链推理领域的空白，也展示了AIxiv专栏在促进学术交流与传播方面的重要作用。
AIxiv专栏，作为机器之心发布学术和技术内容的平台，过去几年内已报道了超过2000篇内容，覆盖了全球顶级实验室的最新研究，为学术界提供了丰富的资源和交流机会。这一专栏不仅为学术成果的展示和传播提供了平台，也成为了推动人工智能领域发展的重要力量。
此次研究团队由来自不同领域的专家组成，包括费豪、吴胜琼、吉炜、张含望教授、张梅山教授、Mong-Li Lee教授和Wynne Hsu教授。他们的研究兴趣广泛，涵盖了多模态学习、多模态大语言模型、计算机视觉、因果推断、代码智能、自然语言处理、多模态生成与理解以及社交媒体分析和协同机器学习等多个前沿领域。
Video-of-Thought（VoT）框架的创新之处在于其全面的视频理解和推理能力，能够从感知层面深入到认知层面，对复杂视频进行精细分析和逻辑推理。这一框架的提出，不仅显著提升了视频多模态大语言模型在复杂视频处理上的性能，也为人工智能在视频分析领域的应用开辟了新的可能性。随着这一创新成果的公布，预计未来在视频分析、内容理解、智能推荐等应用领域将有更广泛的应用前景，进一步推动人工智能技术的发展和应用。
英语如下：
News Title: “First Video Thought Chain Reasoning Framework VoT Emerges, Significantly Boosting Complex Video Understanding and Reasoning Capabilities”
Keywords: Video Thought Chain, Multimodal Large Models, Complex Video Understanding
News Content: In a recent development, a research team comprising members from the National University of Singapore, Nanyang Technological University, and the Shenzhen Graduate School of Harbin Institute of Technology, has introduced the pioneering Video-of-Thought (VoT) framework. This innovation marks a significant leap in video processing techniques within the realm of large model inference, highlighting a major breakthrough in the field.
VoT’s introduction not only fills a void in the field of video-based thought chain reasoning but also showcases the pivotal role of AIxiv, a platform for academic content and technology released by the machine之心, in facilitating scholarly exchanges and dissemination. AIxiv has reported over 2,000 articles in the past few years, covering the latest research from top global laboratories, providing rich resources and opportunities for scholarly discourse.
The research team, composed of experts from diverse fields, including Prof. Fei Hao, Prof. Wu Shengqiong, Prof. Ji Wei, Prof. Zhang Hangwang, Prof. Zhang Meishan, Prof. Mong-Li Lee, and Prof. Wynne Hsu, spans a broad range of interests, including multimodal learning, multimodal large language models, computer vision, causal inference, code intelligence, natural language processing, multimodal generation and understanding, social media analysis, and collaborative machine learning.
VoT’s innovation lies in its comprehensive ability to understand and reason about complex videos, delving from the sensory level to the cognitive level, enabling meticulous analysis and logical reasoning. The introduction of this framework significantly enhances the performance of multimodal large language models in the processing of complex videos, paving new avenues for the application of artificial intelligence in video analysis. With this innovative achievement announced, it is anticipated that the future applications in video analysis, content understanding, intelligent recommendations, and other domains will expand, further driving advancements and applications in artificial intelligence technology.
【来源】https://www.jiqizhixin.com/articles/2024-07-12-3
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