(3/n) Dense fine-tuning and soft prompting enhance the performance of sparsely pre-trained MediSwift models on biomedical tasks (e.g., PubMedQA). This ensures high accuracy, thereby improving the efficiency-accuracy Pareto frontier. Pubmed QA leaderboard: https://
pubmedqa.github.io

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