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Author

Sunjae Kwon

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Preprint Aug 2026

MUSES: A Benchmark for Prospective Intellectual-Roots Retrieval

This work introduces MUSES, a million-instance benchmark for prospective intellectual-roots retrieval over a fixed 2.33M-paper corpus, and releases CiteRoots, both CiteRoots layers, and a distilled open companion judge for future work on prospective retrieval and intellectual roots.

Rohan Pandey, Sunjae Kwon, Hong Yu · 0 citations
Open access Feb 2025

Enhancing Large Language Models for Identifying and Prioritizing Important Medical Jargons From Electronic Health Record Notes Using Data Augmentation: Comparative Study

This study evaluated both closed-source and open-source large language models for extracting and prioritizing medical jargon from EHR notes relevant to individual patients, leveraging prompting techniques, fine-tuning, and data augmentation and found that model performance could deviate largely based on prompting style...

W. Jang, Sharmin Sultana, Zonghai Yao et al. · 1 citation

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