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Evidence-Backed Video Question Answering research paper by Salesforce, 2026

Salesforce · Jul 13, 2026 · Multimodal and robotics · 4 upvotes 2 months ago

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What it shows

Evidence-Backed Video Question Answering requires models to provide answers with precise spatio-temporal segmentation evidence, revealing gaps between reasoning and visual grounding that are improved by large-scale instruction tuning.

Hugging Face's summary; not yet checked by hand.

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About this paper
Authors
Shijie Wang, Honglu Zhou, Ziyang Wang and 5 more
arXiv
2607.11862 · PDF
Citations
Not counted yet · Semantic Scholar
Upvotes
4 · Hugging Face
Lab
Salesforce · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

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What changed
New paperAdded to the listSep 26, 2026today

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