Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases
An analytically exact framework for the controlled behavioral evaluation of Large Language Models is introduced, demonstrating how this approach isolates systemic country-of-origin biases that aggregate benchmarks otherwise obscure.
Davood Wadi, Mohsen Ghodrat, Matthew Philp
· 2 citations