BiRG-LoRA achieves 69.31% macro-average accuracy across CMB, CMExam, MedQA, and MedMCQA, outperforming MoELoRA by 0.89 points with 28.1% fewer trainable parameters under a matched Qwen3-8B protocol.
& Zhang, A
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A tutorial guide outlining phases for integrating LLMs into medical research, including task formulation, model choice, prompt engineering, fine-tuning, and deployment with ethical considerations.
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Clinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering
BiRG-LoRA achieves 69.31% macro-average accuracy across CMB, CMExam, MedQA, and MedMCQA, outperforming MoELoRA by 0.89 points with 28.1% fewer trainable parameters under a matched Qwen3-8B protocol.
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Entry-level guide to the use of large language models for medical research
A tutorial guide outlining phases for integrating LLMs into medical research, including task formulation, model choice, prompt engineering, fine-tuning, and deployment with ethical considerations.