Pre-Trained Language Models Represent Some Geographic Populations Better Than Others

16 March 2024

Papers citing "Pre-Trained Language Models Represent Some Geographic Populations Better Than Others"

5 / 5 papers shown

Title
Performance Gains of LLMs With Humans in a World of LLMs Versus Humans Lucas McCullum Pelagie Ami Agassi Leo Anthony Celi Daniel K. Ebner Chrystinne Oliveira Fernandes Rachel S. Hicklen Mkliwa Koumbia Lisa Soleymani Lehmann David Restrepo 29 0 0 13 May 2025
Uncovering Regional Defaults from Photorealistic Forests in Text-to-Image Generation with DALL-E 2 Zilong Liu Krzysztof Janowicz Kitty Currier Meilin Shi 30 1 0 03 Oct 2024
Register Variation Remains Stable Across 60 Languages Haipeng Li Jonathan Dunn A. Nini 47 8 0 20 Sep 2022
Measuring Geographic Performance Disparities of Offensive Language Classifiers Brandon Lwowski P. Rad Anthony Rios 50 5 0 15 Sep 2022
Geographical Distance Is The New Hyperparameter: A Case Study Of Finding The Optimal Pre-trained Language For English-isiZulu Machine Translation Muhammad Umair Nasir Innocent Amos Mchechesi 44 8 0 17 May 2022