Few shot learning approaches to essay scoring. - Robert K. Helmeczi; Savas Yildirim; Mucahit Cevik; Sojin Lee (Canadian AI, 2023)

Robust auxiliary learning with weighting function for biased data. - Dasol Hwang; Sojin Lee; Joonmyung Choi; Je-Keun Rhee; Hyunwoo J. Kim (Inf. Sci., 2023)

Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems. - Sojin Lee; Dogyun Park; Inho Kong; Hyunwoo J. Kim (ECCV (53), 2024)

DDMI: Domain-agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations. - Dogyun Park; Sihyeon Kim; Sojin Lee; Hyunwoo J. Kim (ICLR, 2024)

Constant Acceleration Flow. - Dogyun Park; Sojin Lee; Sihyeon Kim; Taehoon Lee 004; Youngjoon Hong; Hyunwoo J. Kim (NeurIPS, 2024)

A Comprehensive Survey of Compression Algorithms for Language Models. - Seungcheol Park; Jaehyeon Choi; Sojin Lee; U Kang (CoRR, 2024)

Short Made Them Powerful: Exploring Motivations and Problematic Uses of TikTok. - Youngju Jung; Taeyeon Kim; Sojin Lee; Seung Min; Yongjun Sung (Cyberpsychology Behav. Soc. Netw., 2025)

Accurate Sublayer Pruning for Large Language Models by Exploiting Latency and Tunability Information. - Seungcheol Park; Sojin Lee; Jongjin Kim 001; Jinsik Lee; Hyunjik Jo; U Kang (CoRR, 2025)