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Muhammad Azam

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Optimizing large language model prompts for biomedical knowledge discovery

This work presents a scalable, reproducible framework for evaluating, optimizing, and interpreting LLMs for biomedical knowledge extraction, with a focus on gene–gene regulatory relation prediction, pathway component recognition, multimodal pathway figure understanding, and automated prompt optimization.

Muhammad Azam · 0 citations