Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction. - Gyubok Lee; Seongjun Yang; Edward Choi (ACL/IJCNLP (2), 2021)

EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records. - Gyubok Lee; Hyeonji Hwang; Seongsu Bae; Yeonsu Kwon; Woncheol Shin; Seongjun Yang; Minjoon Seo; Jong-Yeup Kim; Edward Choi (NeurIPS, 2022)

Universal EHR Federated Learning Framework. - Junu Kim; Kyunghoon Hur; Seongjun Yang; Edward Choi (CoRR, 2022)

Towards the Practical Utility of Federated Learning in the Medical Domain. - Hyeonji Hwang; Seongjun Yang; Daeyoung Kim; Radhika Dua; Jong-Yeup Kim; Eunho Yang; Edward Choi (CHIL, 2023)

Task Agnostic and Post-hoc Unseen Distribution Detection. - Radhika Dua; Seongjun Yang; Yixuan Li 001; Edward Choi (WACV, 2023)

Predictive Pipelined Decoding: A Compute-Latency Trade-off for Exact LLM Decoding. - Seongjun Yang; Gibbeum Lee; Jaewoong Cho; Dimitris Papailiopoulos; Kangwook Lee 001 (Trans. Mach. Learn. Res., 2024)

Assessing Patent Value with LLMs: DRAM Dataset. - Suhyeong Kim; Seongjun Yang; Seongwoo Kim (PACIS, 2025)