Symbolic Intermediaries as a Linguistic-Numerical Interface for LLM-Driven Geometric Reasoning 事件

Symbolic Intermediaries as a Linguistic-Numerical Interface for LLM-Driven Geometric Reasoning arXiv:2505.17607v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) display reasoning capabilities over linguistic and symbolic objects but have limited capabilities to directly interpret the continuous numerical outputs of physics simulators, e.g., distances, curvatures, and trajectories that resist discrete tokenisation. Across spatially grounded engineering reasoning tasks, from