AI RESEARCH
Scalable Object Relation Encoding for Better 3D Spatial Reasoning in Large Language Models
arXiv CS.AI
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ArXi:2603.24721v1 Announce Type: cross Spatial reasoning focuses on locating target objects based on spatial relations in 3D scenes, which plays a crucial role in developing intelligent embodied agents. Due to the limited availability of 3D scene-language paired data, it is challenging to train models with strong reasoning ability from scratch. Previous approaches have attempted to inject 3D scene representations into the input space of Large Language Models (LLMs) and leverage the pretrained comprehension and reasoning abilities for spatial reasoning.