Severity-based curriculum learning improves Arabic medical text generation by 3-7% by training models progressively from mild to critical cases on an annotated MAQA subset.
Springer Nature Switzerland, Cham (June 2024)
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Severity-aware loss weighting improves Arabic medical text generation by up to 12.10% across ten LLMs by scaling token loss according to automatically derived clinical severity probabilities.
citing papers explorer
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A Severity-Based Curriculum Learning Strategy for Arabic Medical Text Generation
Severity-based curriculum learning improves Arabic medical text generation by 3-7% by training models progressively from mild to critical cases on an annotated MAQA subset.
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Severity-Aware Weighted Loss for Arabic Medical Text Generation
Severity-aware loss weighting improves Arabic medical text generation by up to 12.10% across ten LLMs by scaling token loss according to automatically derived clinical severity probabilities.