ARC-Hunyuan-Video-7B: Structured Video Comprehension of Real-World Shorts

In this episode, we discuss ARC-Hunyuan-Video-7B: Structured Video Comprehension of Real-World Shorts by Yuying Ge, Yixiao Ge, Chen Li, Teng Wang, Junfu Pu, Yizhuo Li, Lu Qiu, Jin Ma, Lisheng Duan, Xinyu Zuo, Jinwen Luo, Weibo Gu, Zexuan Li, Xiaojing Zhang, Yangyu Tao, Han Hu, Di Wang, Ying Shan. The paper presents ARC-Hunyuan-Video, a 7B-parameter multimodal model designed for detailed, temporally-structured understanding of short user-generated videos using visual, audio, and text inputs. It supports tasks like timestamped captioning, summarization, question answering, and video reasoning, trained through a multi-stage process including reinforcement learning. Evaluations show strong real-world performance, efficiency, and positive impact on user engagement in production deployment.

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