@article{dustin2026,
title = {What and Whose Knowledge? Measuring Epistemic Diversity in Large Language Models},
author = {Wright, Dustin and Masud, Sarah and Moore, Jared and Yadav, Srishti and Antoniak, Maria and Christensen, Peter Ebert and Park, Chan Young and Augenstein, Isabelle},
journal = {Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing},
year = {2026},
month = {Jan},
}
Wright, Dustin et al. (2026). What and Whose Knowledge? Measuring Epistemic Diversity in Large Language Models. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing.
Wright, Dustin, et al.. "What and Whose Knowledge? Measuring Epistemic Diversity in Large Language Models." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing, 2026.
Wright, Dustin, et al.. "What and Whose Knowledge? Measuring Epistemic Diversity in Large Language Models." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (2026).
Wright, Dustin et al., 2026. What and Whose Knowledge? Measuring Epistemic Diversity in Large Language Models. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing.
TY - JOUR
TI - What and Whose Knowledge? Measuring Epistemic Diversity in Large Language Models
AU - Wright, Dustin
AU - Masud, Sarah
AU - Moore, Jared
AU - Yadav, Srishti
AU - Antoniak, Maria
AU - Christensen, Peter Ebert
AU - Park, Chan Young
AU - Augenstein, Isabelle
PY - 2026
JO - Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing
ER -