Papers by Faisal Hossain Raquib

1 papers
BanHADEX: Towards Explainable HAte Speech Detection in Bangla Using Human Annotated EXplanation (2026.acl-long)

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Challenge: Existing studies in Bangla focus on hate classification while overlooking interpretability.
Approach: They propose to create a dataset with human-annotated labels for banla that contains 19,203 YouTube comments spanning April 2024–June 2025.
Outcome: The proposed dataset outperforms existing datasets on open and closed-source LLMs on interpretability and better understanding of hate speech in linguistically rich yet under-resourced languages.

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