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New VideoZeroBench benchmark reveals V-MLLMs struggle with evidence localization

By PulseAugur Editorial · [1 sources] ·

A new benchmark called VideoZeroBench has been introduced to evaluate the spatio-temporal evidence verification capabilities of video multimodal large language models (V-MLLMs). This benchmark features manually annotated question-answer pairs across 13 video domains, focusing on fine-grained cues and distributed evidence. The evaluation protocol includes a five-level diagnostic system that assesses not only answer correctness but also the accuracy of temporal and spatial localization of evidence. Results show that while models like Gemini-3.7-Flash achieve moderate accuracy on standard question answering, their performance plummets when precise evidence localization is required, highlighting significant challenges in current V-MLLM systems. AI

IMPACT Highlights critical limitations in current video LLMs regarding evidence localization, driving future research towards more precise spatio-temporal understanding.

RANK_REASON The cluster describes a new academic paper introducing a benchmark for evaluating AI models. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New VideoZeroBench benchmark reveals V-MLLMs struggle with evidence localization

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The cluster describes a new academic paper introducing a benchmark for evaluating AI models. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Jiahao Meng, Yue Tan, Qi Xu, Haochen Wang, Zhongwei Ren, Weisong Liu, Yuhao Wang, Renrui Zhang, Xiangtai Li, Haodong Duan, Yunhai Tong, Ming-Hsuan Yang ·

    VideoZeroBench: Probing the Limits of Video MLLMs with Spatio-Temporal Evidence Verification

    arXiv:2604.01569v2 Announce Type: replace Abstract: Video multimodal large language models achieve strong results on existing benchmarks, but answer accuracy alone does not establish whether they can locate the evidence needed to answer a question. We introduce VideoZeroBench, a …

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