Papers by Md Mehedi Hasan
Thinking Like a Botanist: Challenging Multimodal Language Models with Intent Driven Chain-of-Inquiry (2026.findings-acl)
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Syed Nazmus Sakib, Nafiul Haque, Shahrear Bin Amin, Hasan Muhammad Abdullah, Md Mehedi Hasan, Mohammad Zabed Hossain, Shifat E. Arman
| Challenge: | Visual question-based reasoning is a key component of vision-language models. |
| Approach: | They propose a framework for visual question-answering that integrates visual intent with visual severity to improve diagnostic accuracy. |
| Outcome: | The proposed framework improves diagnostic correctness, reduces hallucination, and increases reasoning efficiency. |
BornoDrishti: Leveraging Vision Encoders and Domain-Adaptive Learning for Bangla OCR on Diverse Documents (2026.eacl-industry)
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| Challenge: | Existing solutions for OCR for Bangla scripts are limited to single-domain processing. |
| Approach: | They propose a unified OCR system that recognizes both printed and handwritten Bangla scripts within a single model. |
| Outcome: | The proposed system achieves competitive accuracy across both domains and surpasses specialized uni-domain systems. |