From Symbolic to Geometric: Enabling Spatial Reasoning in Large Language Models 事件

From Symbolic to Geometric: Enabling Spatial Reasoning in Large Language Models arXiv:2606.04381v1 Announce Type: cross Abstract: Recent large language models (LLMs) often appear to exhibit spatial reasoning ability; however, this capability is largely \emph{symbolic}, arising from pattern matching over spatial language rather than true \emph{geometric} reasoning over space. Because LLMs operate on discrete tokens, they lack native support for continuous spatial representations, explicit geomet