
The author proposes SERVAL, a synergy learning pipeline that enhances zero-shot medical prediction by leveraging the knowledge of large language models and small vertical models through mutual enhancement.


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SERVAL-Synergy-Learning-for-Zero-shot-Medical-Prediction


SERVAL: Synergy Learning for Zero-shot Medical Prediction


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SERVAL proposes a synergy learning pipeline to enhance the vertical capabilities of large language models (LLMs) and small models through mutual enhancement, achieving competitive performance in medical prediction without gold labels.


serval-synergy-learning-for-oracle-level-medical-prediction


SERVAL: Synergy Learning for Oracle-Level Medical Prediction
