arXiv cs.CL
· Papers
Visualising Information Flow in Word Embeddings with Diffusion Tensor Imaging
arXiv:2601.05713v2 Announce Type: replace Abstract: Understanding how large language models (LLMs) represent natural language is a central challenge in natural language processing (NLP) research. Many existing methods extract word embeddings from an LLM, visualise the embedding space via point-plots, and compare the re