Papers by Jiaren Peng

1 papers
Enhancing Medical Dialogue Generation through Knowledge Refinement and Dynamic Prompt Adjustment (2025.findings-acl)

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Challenge: Medical dialogue systems (MDS) struggle to identify relevant medical knowledge and generate accurate responses.
Approach: They propose a medical dialogue system that integrates knowledge refining and dynamic prompt adjustment to improve medical knowledge and accuracy.
Outcome: The proposed system outperforms state-of-the-art systems in both generation quality and medical entity accuracy.

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