Abstract
Etiquettes are an essential ingredient of day-to-day interactions among people. Moreover, etiquettes are region-specific, and etiquettes in one region might contradict those in other regions. In this paper, we propose EtiCor, an Etiquettes Corpus, having texts about social norms from five different regions across the globe. The corpus provides a test bed for evaluating LLMs for knowledge and understanding of region-specific etiquettes. Additionally, we propose the task of Etiquette Sensitivity. We experiment with state-of-the-art LLMs (Delphi, Falcon40B, and GPT-3.5). Initial results indicate that LLMs, mostly fail to understand etiquettes from regions from non-Western world.- Anthology ID:
- 2023.emnlp-main.428
- Volume:
- Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Month:
- December
- Year:
- 2023
- Address:
- Singapore
- Editors:
- Houda Bouamor, Juan Pino, Kalika Bali
- Venue:
- EMNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 6921–6931
- Language:
- URL:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2023.emnlp-main.428/
- DOI:
- 10.18653/v1/2023.emnlp-main.428
- Cite (ACL):
- Ashutosh Dwivedi, Pradhyumna Lavania, and Ashutosh Modi. 2023. EtiCor: Corpus for Analyzing LLMs for Etiquettes. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 6921–6931, Singapore. Association for Computational Linguistics.
- Cite (Informal):
- EtiCor: Corpus for Analyzing LLMs for Etiquettes (Dwivedi et al., EMNLP 2023)
- PDF:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2023.emnlp-main.428.pdf