RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe Completion using Cascaded Set Transformer. - Mogan Gim; Donghee Choi; Kana Maruyama; Jihun Choi; Hajung Kim; Donghyeon Park; Jaewoo Kang (CIKM, 2022)

RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe Completion using Cascaded Set Transformer. - Mogan Gim; Donghee Choi; Kana Maruyama; Jihun Choi; Hajung Kim; Donghyeon Park; Jaewoo Kang (CoRR, 2022)

KU-DMIS-MSRA at RadSum23: Pre-trained Vision-Language Model for Radiology Report Summarization. - Gangwoo Kim; Hajung Kim; Lei Ji 001; Seongsu Bae; Chanhwi Kim; Mujeen Sung; Hyunjae Kim; Kun Yan; Eric Chang; Jaewoo Kang (BioNLP@ACL, 2023)

KitchenScale: Learning to predict ingredient quantities from recipe contexts. - Donghee Choi; Mogan Gim; Samy Badreddine; Hajung Kim; Donghyeon Park; Jaewoo Kang (CoRR, 2023)

Perceiver CPI: a nested cross-attention network for compound-protein interaction prediction. - Ngoc-Quang Nguyen; Gwanghoon Jang; Hajung Kim; Jaewoo Kang (Bioinform., 2023)

KitchenScale: Learning to predict ingredient quantities from recipe contexts. - Donghee Choi; Mogan Gim; Samy Badreddine; Hajung Kim; Donghyeon Park; Jaewoo Kang (Expert Syst. Appl., 2023)

KU-DMIS at EHRSQL 2024 : Generating SQL query via question templatization in EHR. - Hajung Kim; Chanhwi Kim; Hoonick Lee; Kyochul Jang; Jiwoo Lee; Kyungjae Lee 002; Gangwoo Kim; Jaewoo Kang (ClinicalNLP@NAACL, 2024)

LLM Based Biological Named Entity Recognition from Scientific Literature. - Sung Jae Jung; Hajung Kim; Kyoung Sang Jang (BigComp, 2024)

KU AIGEN ICL EDI@BC8 Track 3: Advancing Phenotype Named Entity Recognition and Normalization for Dysmorphology Physical Examination Reports. - Hajung Kim; Chanhwi Kim; Jiwoong Sohn; Tim Beck; Marek Rei; Sunkyu Kim; T. Ian Simpson; Joram M. Posma; Antoine Lain; Mujeen Sung; Jaewoo Kang (CoRR, 2025)