Measuring geographic performance disparities of offensive language classifiers

[PDF] arxiv.org

Through the lens of core competency: Survey on evaluation of large language models

Z Zhuang, Q Chen, L Ma, M Li, Y Han, Y Qian… - arXiv preprint arXiv …, 2023 - arxiv.org
From pre-trained language model (PLM) to large language model (LLM), the field of natural
language processing (NLP) has witnessed steep performance gains and wide practical …
被引用次数：7 相关文章 所有 4 个版本
[PDF] arxiv.org

Cross-cultural transfer learning for Chinese offensive language detection

L Zhou, L Cabello, Y Cao, D Hershcovich - arXiv preprint arXiv …, 2023 - arxiv.org
Detecting offensive language is a challenging task. Generalizing across different cultures
and languages becomes even more challenging: besides lexical, syntactic and semantic …
被引用次数：11 相关文章 所有 4 个版本
[PDF] arxiv.org

Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art

CC Liu, I Gurevych, A Korhonen - arXiv preprint arXiv:2406.03930, 2024 - arxiv.org
The surge of interest in culturally aware and adapted Natural Language Processing (NLP)
has inspired much recent research. However, the lack of common understanding of the …
相关文章 所有 2 个版本