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This paper presents UMASS_BioNLP team participation in the MEDIQA-Chat 2023shared task for Task-A and Task-C. We focus especially on Task-C and propose anovel LLMs cooperation system named a doctor-patient loop to generatehigh-quality conversation data sets. The experiment results demonstrate thatour approaches yield reasonable performance as evaluated by automatic metricssuch as ROUGE, medical concept recall, BLEU, and Self-BLEU. Furthermore, weconducted a comparative analysis between our proposed method and ChatGPT andGPT-4. This analysis also investigates the potential of utilizing cooperationLLMs to generate high-quality datasets.

UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations?