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cs.CV2026
Test-time Reinforcement Learning for Anomalous Video Understanding
Huining Li, Yuxiang Duan, Jiyang Tan +5
Anomalous video understanding aims to identify abnormal events in videos and interpret their semantic meanings beyond simple anomaly detection. Recent video large language models (…
cs.CV2026
Prior Directions: Separating Geometric Identification from Behavioral Efficacy in Visual Revision
Weile Gong, Zijian Lu, Mingcai Chen +3
Vision-language models can remain anchored to stale verbal priors even when current visual evidence supports a different answer. We use this controlled revision failure to ask whet…
cs.CV2026
Geometric Risk Control for Vision-Language Model OCR
Weile Gong, Zijian Lu, Mingcai Chen +3
Vision-language models (VLMs) enable flexible generative optical character recognition (OCR), while their open-ended decoders can expose wrong but fluent text with weak visual supp…