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MVVBench: Benchmarking 4D Reasoning in Vision-Language Models
MVVBench benchmarks 4D multi-view video reasoning requiring joint cross-view temporal integration, finding vision-language models fail due to temporal mis-localization and cross-view identity breaks, with inference-time scaffolding and reinforcement learning yielding substantial gains.
Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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14/20 AI panelreviewers recommend it
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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5