mlsanityData to 14 Oct 2026

EtiCor++: Towards Understanding Etiquettical Bias in LLMs

arXiv 2506.08488 ↗First posted 10 Jun 2025cs.CL cs.AI cs.CYcited by 3

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Abstract (arXiv)

In recent years, researchers have started analyzing the cultural sensitivity of LLMs. In this respect, Etiquettes have been an active area of research. Etiquettes are region-specific and are an essential part of the culture of a region; hence, it is imperative to make LLMs sensitive to etiquettes. However, there needs to be more resources in evaluating LLMs for their understanding and bias with regard to etiquettes. In this resource paper, we introduce EtiCor++, a corpus of etiquettes worldwide. We introduce different tasks for evaluating LLMs for knowledge about etiquettes across various regions. Further, we introduce various metrics for measuring bias in LLMs. Extensive experimentation with LLMs shows inherent bias towards certain regions.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 31 of its 46 references that are in the map. First posted on arXiv 10 Jun 2025.

Builds on

31 of 46 references.

References · 31

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19 more
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 3.

3 papers.