Exploring Approaches to Answer Biomedical Questions: From Pre-processing to GPT-4. - Hyunjae Kim; Hyeon Hwang; Chaeeun Lee; Minju Seo; Wonjin Yoon; Jaewoo Kang (CLEF (Working Notes), 2023)

LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs. - Yongrae Jo; Seongyun Lee; Minju Seo; Sung Ju Hwang; Moontae Lee (ClinicalNLP@NAACL, 2024)

Rethinking Code Refinement: Learning to Judge Code Efficiency. - Minju Seo; Jinheon Baek; Sung Ju Hwang (EMNLP (Findings), 2024)

Retrieval-Augmented Data Augmentation for Low-Resource Domain Tasks. - Minju Seo; Jinheon Baek; James Thorne; Sung Ju Hwang (CoRR, 2024)

Efficient Long Context Language Model Retrieval with Compression. - Minju Seo; Jinheon Baek; Seongyun Lee; Sung Ju Hwang (ACL (1), 2025)

Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning. - Minju Seo; Jinheon Baek; Seongyun Lee; Sung Ju Hwang (CoRR, 2025)

The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think. - Seongyun Lee; Seungone Kim; Minju Seo; Yongrae Jo; Dongyoung Go; Hyeonbin Hwang; Jinho Park 005; Xiang Yue; Sean Welleck; Graham Neubig; Moontae Lee; Minjoon Seo (CoRR, 2025)