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cs.CV2026
Video Evidence Indexing: Learning Where to Look from Video Previews for Token-Budgeted Long-Video Question Answering
Haowen Guan, Shengzhi Li, Shichao Pei
Long-video question answering is limited by the high cost of visual tokens and by the fixed context width of current VLMs. A long-video question may require broad temporal coverage…
cs.CV2026
PushupBench: Your VLM is not good at counting pushups
Shengzhi Li, Jiarun Chen, Karun Sharma +2
Large vision-language models (VLMs) can recognize \textit{what} happens in video but fail to count \textit{how many} times. We introduce \textbf{PushupBench}, 446 long-form clips (…