Papers by Syed Nazmus Sakib

1 papers
Thinking Like a Botanist: Challenging Multimodal Language Models with Intent Driven Chain-of-Inquiry (2026.findings-acl)

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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.

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