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20152026
most citedOn Bias and Fairness in NLP: Investigating the Impact of Bias and Debiasing in Language Models on the Fairness of Toxicity Detection

1 citations · 1 across the 8 of their papers we have counts for

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cs.CL2025

SKDU at De-Factify 4.0: Natural Language Features for AI-Generated Text-Detection

Shrikant Malviya, Pablo Arnau-González, Miguel Arevalillo-Herráez +1

The rapid advancement of large language models (LLMs) has introduced new challenges in distinguishing human-written text from AI-generated content. In this work, we explored a pipe…

cs.CL2023★ 1 cited

On Bias and Fairness in NLP: Investigating the Impact of Bias and Debiasing in Language Models on the Fairness of Toxicity Detection

Fatma Elsafoury, Stamos Katsigiannis

Language models are the new state-of-the-art natural language processing (NLP) models and they are being increasingly used in many NLP tasks. Even though there is evidence that lan…