TI-former: A Time-Interval Prediction Transformer for Timestamped Sequences. - Hyewon Ryu; Sara Yu; Ki Yong Lee (SERA, 2023)

Extending Transformer to Predict Both the Order and Occurrence Times of Elements in a Sequence. - Hyewon Ryu; Sara Yu; Ki Yong Lee (BigComp, 2024)

TWICE: What Advantages Can Low-Resource Domain-Specific Embedding Model Bring? - A Case Study on Korea Financial Texts. - Yewon Hwang; Sungbum Jung; Hanwool Lee; Sara Yu (CoRR, 2025)

NMIXX: Domain-Adapted Neural Embeddings for Cross-Lingual eXploration of Finance. - Hanwool Lee; Sara Yu; Yewon Hwang; Jonghyun Choi; Heejae Ahn; Sungbum Jung; Youngjae Yu (CoRR, 2025)