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Matching papers

S-Space: Exploring Spatial Workspace in Multimodal Language Models

271 upvotes · 9 OCT 2026 · Zhiyuan Shi, Xiang Li, Xingzhuo Guo et al.

This paper discovers an internal spatial representation space in multimodal language models that allows them to reason about spatial relationships and locations, and how this space is used to support accurate spatial judgments. Practitioners might care because it helps them understand the limitations of large-scale language models in spatial reasoning tasks.

multimodal language modelsspatial reasoninginternal representationsspatial transformationsviewpoint changes

UrbanGround: From Local Perception to Spatial Agency in a Real-Scale City

106 upvotes · 27 AUG 2026 · Tianjie Ju, Zheng Wu, Yueqing Sun et al.

This paper explores how large language models can turn local observations of a city into reliable actions, and whether these models can sustain goal-directed behavior in complex urban environments. Practitioners in AI/ML and urban planning might care about the limitations and potential of current models in navigating real-world cities.

multimodal large language modelsurban agencyspatial reasoningopen-ended environmentscontinual learning

S-Agent 2.0: Spatial Reasoning with a General Coding Agent

90 upvotes · 20 OCT 2026 · Rui Gong, Ruoyu Wang, Yalun Dai et al.

This paper introduces S-Agent 2.0, a spatial reasoning agent that helps a general coding agent make better decisions by actively gathering evidence with 3D perception tools. Practitioners might care about this approach because it can improve the performance of existing models on spatial reasoning tasks.

spatial reasoningagentic VLMsscene memorycommand-line perception toolkitgeneral coding agents3D perception tools