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Mohammad Ariful Haque

4 papers hereh-index 25 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.AI1
  • cs.CV1

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CL2025

GRPO++: Enhancing Dermatological Reasoning under Low Resource Settings

Ismam Nur Swapnil, Aranya Saha, Tanvir Ahmed Khan +1

Vision-Language Models (VLMs) show promise in medical image analysis, yet their capacity for structured reasoning in complex domains like dermatology is often limited by data scarc…

cs.CV2025

CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering

Aranya Saha, Tanvir Ahmed Khan, Ismam Nur Swapnil +1

Vision-language models (VLMs) have shown significant potential for medical tasks; however, their general-purpose nature can limit specialized diagnostic accuracy, and their large s…

cs.AI2025

Compression Strategies for Efficient Multimodal LLMs in Medical Contexts

Tanvir A. Khan, Aranya Saha, Ismam N. Swapnil +1

Multimodal Large Language Models (MLLMs) hold huge potential for usage in the medical domain, but their computational costs necessitate efficient compression techniques. This paper…

cs.CL2025

LLM-Assisted Question-Answering on Technical Documents Using Structured Data-Aware Retrieval Augmented Generation

Shadman Sobhan, Mohammad Ariful Haque

Large Language Models (LLMs) are capable of natural language understanding and generation. But they face challenges such as hallucination and outdated knowledge. Fine-tuning is one…

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