AI RESEARCH

The Mechanistic Emergence of Symbol Grounding in Language Models

arXiv CS.CL

ArXi:2510.13796v3 Announce Type: replace Symbol grounding (Harnad, 1990) describes how symbols such as words acquire their meanings by connecting to real-world sensorimotor experiences. Recent work has shown preliminary evidence that grounding may emerge in (vision-)language models trained at scale without using explicit grounding objectives. Yet, the specific loci of this emergence and the mechanisms that drive it remain largely unexplored. To address this problem, we