Preprint
Aug 2026
OVIBench: Benchmarking Online Video Question Answering under Interruption
Recent vision language models (VLMs) have achieved strong progress in video understanding. However, most existing video QA research and benchmarks still follow an offline, single-round paradigm, overlooking realistic interactions where users may interrupt the model during answer generation. To address this gap, we form...
Naiming Liu, Zhiheng Wu, Shuning Wang et al.
· 1 citation