A 0.5B LLM trained on templated local descriptions from a synthetic grid city infers unseen distances and directions, encodes coordinates in its hidden states, and plans shortest paths, but fails under navigation perturbations.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Can LLMs Learn to Map the World from Local Descriptions?
A 0.5B LLM trained on templated local descriptions from a synthetic grid city infers unseen distances and directions, encodes coordinates in its hidden states, and plans shortest paths, but fails under navigation perturbations.