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Found 3 papers, 2 papers with code
Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4
The NLI4CT task assesses Natural Language Inference systems in predicting whether hypotheses entail or contradict evidence from Clinical Trial Reports.
Can GPT-3.5 Generate and Code Discharge Summaries?
Neural coding models were trained on baseline and augmented data and evaluated on a MIMIC-IV test set.
Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain
Additionally, we propose a two-step PEFT framework which fuses Clinical LLaMA-LoRA with Downstream LLaMA-LoRA, another PEFT adapter specialised for downstream tasks.
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