Papers by Kyoyun Choi
RA-RRG: Multimodal Retrieval-Augmented Radiology Report Generation with Key Phrase Extraction (2026.findings-acl)
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| Challenge: | Existing MLLMs are computationally expensive and may produce hallucinated content . RA-RRG uses large language models to generate radiology reports . |
| Approach: | They propose a retrieval-augmented RRG framework that combines multimodal retrieval with large language models to generate radiology reports. |
| Outcome: | RA-RRG uses large language models to generate radiology reports . it suppresses hallucinations while maintaining strong report generation performance . |