EtiCor++: Towards Understanding Etiquettical Bias in LLMs

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.* Equal Contribution 1 In this work, we follow the previous definition of etiquette as defined in Dwivedi et al. (2023): a set of social

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Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.findings-acl.488
Primary Topic
Web Application Security Vulnerabilities
Type
article
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article

EtiCor++: Towards Understanding Etiquettical Bias in LLMs

Siddhant Singh, Ashutosh Dwivedi, Ashutosh Modi
Web Application Security Vulnerabilities
article

EtiCor++: Towards Understanding Etiquettical Bias in LLMs

Siddhant Singh, Ashutosh Dwivedi, Ashutosh Modi
article en

Abstract

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.* Equal Contribution 1 In this work, we follow the previous definition of etiquette as defined in Dwivedi et al. (2023): a set of social

Indian Institute of Technology Kanpur (IN)
Openalex Percentile: Top 71%
Web Application Security Vulnerabilities
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