SpatialCORE for Confidence-Aware Spatial Reasoning
September 29, 2026
SpatialCORE is a post-training framework that uses a model's grounding confidence as a learning signal for spatial reasoning. It prevents models from achieving correct answers through luck by rewarding correct reasoning derived from confidently localized objects.
HOW THIS AFFECTS YOU
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builderYou can build more reliable vision-language applications that require precise spatial awareness.
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researcherThis offers a new way to supervise spatial reasoning through grounding confidence.