arXiv Machine Learning June 2, 2026 By Ali Alavi

Perception First: A Frontier Native-Video Model with Self-Consistency for Implicit Video Question Answering

Read the original on arXiv Machine Learning →

arXiv:2606. 01485v1 Announce Type: cross Abstract: We describe our submission to the VRR Challenge @ CVPR 2026, built on the \emph{ImplicitQA} / \emph{VRR-QA} benchmark~\cite{implicitqa}: multiple-choice video question answering in which answers are deliberately \emph{not} observable in any single frame and must be inferred from spatial layout, motion, depth, viewpoint, causality, and social context across discontinuous frames of creative video.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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