5 papers
Gradient Extrapolation-Based Policy Optimization
Ismam Nur Swapnil, Aranya Saha, Tanvir Ahmed Khan +2
Reinforcement learning is widely used to improve the reasoning ability of large language models, especially when answers can be automatically checked. Standard GRPO-style training…
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…
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…
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…
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 But they face challenges such as hallucination and outdated knowledge.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…