Papers with prompts and demonstration selection strategies

1 papers
Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study (2024.eacl-short)

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Challenge: pharmacovigilance event extraction is a key field of healthcare that involves identifying, evaluating, understanding, and preventing adverse effects.
Approach: They investigate the ability of large language models (LLMs) to extract adverse events from medical text.
Outcome: The proposed model performs reasonably well with demonstration selection strategies, but falls short compared to fully fine-tuned small models.

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