A closed-source LLM's re-ranking labels are distilled into a locally deployable open-source LLM, producing small but consistent Acc@1 gains in low-resource biomedical entity linking on two datasets.
In: 2023 IEEE Inter- national Conference on Data Mining Workshops (ICDMW)
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Distilling Closed-Source LLM's Knowledge for Locally Stable and Economic Biomedical Entity Linking
A closed-source LLM's re-ranking labels are distilled into a locally deployable open-source LLM, producing small but consistent Acc@1 gains in low-resource biomedical entity linking on two datasets.