NCU-IISR: Prompt Engineering on GPT-4 to Stove Biological Problems in BioASQ 11b Phase B

Chun Yu Hsueh, Yu Zhang, Yu Wei Lu, Jen Chieh Han, Wilailack Meesawad, Richard Tzong Han Tsai

研究成果: 雜誌貢獻會議論文同行評審

摘要

In this paper, we present our system applied in BioASQ 11b phase b. We showcase prompt engineering strategies and outline our experimental steps. Building upon the success of ChatGPT/GPT-4 in answer generation and the field of biology, we developed a system that utilizes GPT-4 to answer biomedical questions. The system leverages OpenAI’s ChatCompletions API and combines Prompt Engineering methods to explore various prompts. In addition, we also attempted to incorporate GPT-4 into our system from last year, which combines a BERT-based model and BERTScore. However, the standalone GPT-4 method outperformed this approach by a large margin. Ultimately, in our submission, we adopted what we believe to be the optimal prompts and achieved the highest scores in the second batch.

原文???core.languages.en_GB???
頁(從 - 到)114-121
頁數8
期刊CEUR Workshop Proceedings
3497
出版狀態已出版 - 2023
事件24th Working Notes of the Conference and Labs of the Evaluation Forum, CLEF-WN 2023 - Thessaloniki, Greece
持續時間: 18 9月 202321 9月 2023

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