Papers by Md Farhad Alam Bhuiyan
Evaluating Large Vision Language Models on Bangla Medical Visual Question Answering (2026.findings-acl)
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Rafid Ahmed, Intesar Tahmid, Mir Sazzat Hossain, Tasnimul Hossain Tomal, Md Mahir Jawad, Anam Borhan Uddin, Md Fahim, Md Farhad Alam Bhuiyan
| Challenge: | Recent advances in Large Language Models and Large Vision Language Model (LVLMs) have demonstrated promising capabilities in complex reasoning tasks, but low-resource contexts like Bangla are underexplored. |
| Approach: | They propose a multilingual medical visual question answering dataset using Bangla. |
| Outcome: | The proposed model performs well on generalized visual tasks but struggles with fine-grained diagnostic reasoning, achieving low accuracy in specialized categories. |
BanTH: A Multi-label Hate Speech Detection Dataset for Transliterated Bangla (2025.findings-naacl)
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Fabiha Haider, Fariha Tanjim Shifat, Md Farhan Ishmam, Md Sakib Ul Rahman Sourove, Deeparghya Dutta Barua, Md Fahim, Md Farhad Alam Bhuiyan
| Challenge: | Existing work on monolingual or binary hate classification in Bangla has not addressed the challenge of multi-label hate speech classification in underrepresented languages. |
| Approach: | They propose a multi-label transliterated Bangla hate speech dataset that translates or transliterates under-resourced text to higher-resource text before classifying the hate group(s). |
| Outcome: | The proposed approach outperforms other methods in the zero-shot setting while achieving state-of-the-art performance. |