Papers by Md Tahmid Hasan Fuad
BANMIME : Misogyny Detection with Metaphor Explanation on Bangla Memes (2025.emnlp-main)
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Md Ayon Mia, Akm Moshiur Rahman Mazumder, Khadiza Sultana Sayma, Md Fahim, Md Tahmid Hasan Fuad, Muhammad Ibrahim Khan, Akmmahbubur Rahman
| Challenge: | Existing studies have explored hate speech and general meme classification, but the nuanced identification of misogyny in Bangla memes remains underexplored. |
| Approach: | They propose a Bangla misogynistic meme dataset that includes misos, humor, metaphors and detailed human-written explanations. |
| Outcome: | The proposed dataset is the first comprehensive dataset of misogynistic Bangla memes . it includes misos, humor categories, metaphor localization, and detailed human-written explanations based on 2,000 culturally grounded samples . |
BanHADEX: Towards Explainable HAte Speech Detection in Bangla Using Human Annotated EXplanation (2026.acl-long)
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Faisal Hossain Raquib, Akm Moshiur Rahman Mazumder, Md Fahim, Md Tahmid Hasan Fuad, Md Farhan Ishmam, Faria Sultana, M Ashraful Amin, Amin Ahsan Ali, Akmmahbubur Rahman
| 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. |