K-COMP: Retrieval-Augmented Medical Domain Question Answering With Knowledge-Injected Compressor

Understand

Retrieval-augmented question answering (QA) integrates external information and thereby increases the QA accuracy of reader models that lack domain knowledge.

• However, documents retrieved for closed domains require high expertise, so the reader model may have difficulty fully comprehending the text.
• Moreover, the retrieved documents contain thousands of tokens, some unrelated to the question.
• As a result, the documents include some inaccurate information, which could lead the reader model to mistrust the passages and could result in hallucinations.