International Conference
Education
, , Italy
2026-09-29 - 2026-09-29
a.graciotti@rug.nl
Conference Details : Large Language Models (LLMs) encode world knowledge through pre-training on massive datasets,[1] making them the backbone of knowledge extraction applications. Their reliability degrades on long-tail knowledge: low-popularity knowledge that occurs infrequently in pre-training data.[2] Popularity is not neutral: pre-training datasets are predominantly web-crawled and, as such, are generalist, English-centric, and mostly produced over the past 30 years by Western, High-income, Educated, Liberal, Male-dominated (WHELM)[3] communities, raising the risk of models underperforming on specialized domains, non-English languages and non-contemporary times sources, and on knowledge belonging to marginalized social groups.
