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SpatialASM: Internalizing Active Mentalization for Spatial Reasoning

Paper recorded by Signals 4 on 2026-10-09 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-09 on arXiv · recorded by Signals 4 on 2026-10-12

Category: cs.AI · 人工智能 · first seen 2026-10-12

Abstract

When solving complex spatial reasoning tasks, ordinary humans naturally revisit the scenes from task-relevant viewpoints and mentally reconstruct the spatial layouts from those viewpoints. But can Large Vision-Language Models (LVLMs) proactively think in the same way? We term this ability Active Spatial Mentalization (ASM), an intrinsic component of visual intelligence that remains substantially u

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#348 most recent of 960 cs.AI papers we have recorded · ↑ newer: Studying Comics at Scale with Artificial Intelligence: The PAGE Framew · ↓ older: MC-EvoBench: Auditing Experience-Driven Self-Improvement in Minecraft
Cite this page: SpatialASM: Internalizing Active Mentalization for Spatial Reasoning: the #348 most recent of 960 cs.AI papers we have recorded (as of 2026-10-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/spatialasm-internalizing-active-mentalization-for-spatial-reasoning.html
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