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

4 引文 斯高帕斯(Scopus)

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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