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TimeJudge: empowering video-LLMs as zero-shot judges for temporal consistency in video captions
Regular Papers | Updated：2026-01-07

    • TimeJudge: empowering video-LLMs as zero-shot judges for temporal consistency in video captions

      Enhanced Publication
    • TimeJudge：基于视频大语言模型的视频摘要时序一致性零样本检测
    • “In the field of video language models, researchers have made significant progress. They established the TimeJudge system, which provides a generalizable, scalable, and training-free solution to enhance the temporal error detection capabilities of video-LLMs.”
    • Frontiers of Information Technology & Electronic Engineering   Vol. 26, Issue 11, Pages: 2204-2214(2025)

    • DOI：10.1631/FITEE.2500412    

      CLC： TP391

    • Received：14 June 2025，

      Revised：2025-10-20，

      Published Online：26 November 2025，

      Published：2025-11

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  • Yangliu HU, Zikai SONG, Junqing YU, et al. TimeJudge: empowering video-LLMs as zero-shot judges for temporal consistency in video captions[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(11): 2204-2214. DOI： 10.1631/FITEE.2500412.

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