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We assessed the performance of commercial Large Language Models (LLMs)GPT-3.5-Turbo and GPT-4 on tasks from the 2023 BioASQ challenge. In Task 11bPhase B, which is focused on answer generation, both models demonstratedcompetitive abilities with leading systems. Remarkably, they achieved this withsimple zero-shot learning, grounded with relevant snippets. Even withoutrelevant snippets, their performance was decent, though not on par with thebest systems. Interestingly, the older and cheaper GPT-3.5-Turbo system wasable to compete with GPT-4 in the grounded Q&A setting on factoid and listanswers. In Task 11b Phase A, focusing on retrieval, query expansion throughzero-shot learning improved performance, but the models fell short compared toother systems. The code needed to rerun these experiments is available throughGitHub.

Is ChatGPT a Biomedical Expert? -- Exploring the Zero-Shot Performance of Current GPT Models in Biomedical Tasks