Papers by Hasan Amin
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. |
From Fallback to Frontline: When Can LLMs be Superior Annotators of Human Perspectives? (2026.findings-acl)
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| Challenge: | large language models are often used as annotators at scale, but are not faithful estimators of human perspectives. |
| Approach: | They characterize the conditions under which large language models outperform human annotators . they find they are statistically superior frontline estimators based on low variance . |
| Outcome: | The proposed model outperforms human annotators when predicting subgroup opinions on subjective tasks. |