1 citations · 2 across the 11 of their papers we have counts for
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VideoEvoHarness: Self Evolving Agent Harness from Unlabeled Videos for Video Understanding
Weixin Xu, Yifan Liu, Yi Wang +5
Video understanding agents rely on a harness to acquire evidence, use tools, and reason, but improving it requires substantial effort. Recent self evolution methods seek to optimiz…
LiveStarPro: Proactive Streaming Video Understanding with Hierarchical Memory for Long-Horizon Streams
Zhenyu Yang, Kairui Zhang, Bing Wang +2
Despite the remarkable progress of Video Large Language Models (Video-LLMs), current online architectures still struggle to simultaneously process continuous video streams, decide…
Never Seen Before: Benchmarking Genuine Zero-Shot Composed Image Retrieval with Consistent Video-Sourced Datasets
Zhenyu Yang, Zemin Du, Shengsheng Qian +1
Zero-Shot Composed Image Retrieval (ZS-CIR) aims to retrieve a target image based on a query composed of a reference image and a relative caption without training samples. Existing…
Don't Pause: Streaming Video-Language Synchrony for Online Video Understanding
Zhenyu Yang, Kairui Zhang, Shengsheng Qian +2
Online Video Large Language Models (Video-LLMs) have advanced toward seamless human-AI interaction through frame-by-frame processing and proactive responding. However, a critical c…
Can Large Language Models Model Programs Formally?
Zhiyong Chen, Jialun Cao, Jiarong Wu +2
In the digital age, ensuring the correctness, safety, and reliability of software through formal verification is paramount, particularly as software increasingly underpins critical…