Papers by Aijing Gao
Automated Clinical Data Extraction with Knowledge Conditioned LLMs (2025.coling-industry)
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| Challenge: | Large language models (LLMs) can be effective at interpreting unstructured text in reports, but they often hallucinate due to a lack of domain-specific knowledge. |
| Approach: | They propose a framework that aligns generated internal knowledge with external knowledge through in-context learning (ICL) they use a retriever to identify relevant units of internal or external knowledge and a grader to evaluate the truthfulness and usefulness of the retrieved internal-knowledge rules to align and update the knowledge bases. |
| Outcome: | Experiments with expert-curated test datasets show that the proposed framework can increase the F1 score for key fields by 12.9% over existing methods. |