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    Epistemic Diversity Paper Accepted to EMNLP2026

    Dustin Wright announces acceptance of work measuring knowledge representation across models.

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    2 Sources, 28d ago, first seen 28d ago

    TLDR

    Dustin Wright, a tenure-track assistant professor at CompSciAAU, posted acceptance of the paper titled What and Whose Knowledge? Measuring Epistemic Diversity in Large Language Models to EMNLP2026. The research measures epistemic diversity across current large language models and states that this diversity has increased over time yet still falls short. Wright lists prior affiliations with Koebenhavns Uni, UMSI, Allen AI, and UCSD CSE. The post notes the paper along with code and data resources.

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    2 Sources

    @dustin_wright37Accepted to #EMNLP2026: "What and Whose Knowledge? Measuring Epistemic Diversity in Large Language Models" We measure epistemic diversity in today's LLMs, finding it has improved over time, but not enough Paper: https://arxiv.org/pdf/2510.04226 Code/data: https://github.com/dwright37/llm-knowledge
    @IAugensteinRT @dustin_wright37: Accepted to #EMNLP2026: "What and Whose Knowledge? Measuring Epistemic Diversity in Large Language Models" We measure…

    2 Sources

    @dustin_wright37Accepted to #EMNLP2026: "What and Whose Knowledge? Measuring Epistemic Diversity in Large Language Models" We measure epistemic diversity in today's LLMs, finding it has improved over time, but not enough Paper: https://arxiv.org/pdf/2510.04226 Code/data: https://github.com/dwright37/llm-knowledge
    @IAugensteinRT @dustin_wright37: Accepted to #EMNLP2026: "What and Whose Knowledge? Measuring Epistemic Diversity in Large Language Models" We measure…