2025
Mapping 1,000+ Language Models via the Log-Likelihood Vector
ACL 2025long
To compare autoregressive language models at scale, we propose using log-likelihood vectors computed on a predefined text set as model features. This approach has a solid theoretical basis: when treated as model coordinates, their squared Euclidean distance approximates the Kullback-Leibler divergen…