AI RESEARCH
$M^3-Verse$: A "Spot the Difference" Challenge for Large Multimodal Models
arXiv CS.AI
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ArXi:2512.18735v2 Announce Type: replace-cross Modern Large Multimodal Models (LMMs) have nstrated extraordinary ability in static image and single-state spatial-temporal understanding. However, their capacity to comprehend the dynamic changes of objects within a shared spatial context between two distinct video observations, remains largely unexplored. This ability to reason about transformations within a consistent environment is particularly crucial for advancements in the field of spatial intelligence. In this paper, we