RABERT: Relation-Aware BERT for Target-Oriented Opinion Words Extraction. - Taegwan Kang; Minwoo Lee 003; Nakyeong Yang; Kyomin Jung (CIKM, 2021)

Entangled Bidirectional Encoder to Autoregressive Decoder for Sequential Recommendation. - Taegwan Kang; Hwanhee Lee; Byeongjin Choe; Kyomin Jung (SIGIR, 2021)

Recommendation System With Hierarchical Recurrent Neural Network for Long-Term Time Series. - Byeongjin Choe; Taegwan Kang; Kyomin Jung (IEEE Access, 2021)

Pairwise Context Similarity for Image Retrieval System Using Variational Auto-Encoder. - Hyeongu Yun; Yongil Kim; Taegwan Kang; Kyomin Jung (IEEE Access, 2021)

Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pretrained Language Model. - Yunah Jang; Dongryeol Lee; Hyung Joo Park; Taegwan Kang; Hwanhee Lee; Hyunkyung Bae; Kyomin Jung (DialDoc@ACL, 2022)

Deriving Explainable Discriminative Attributes Using Confusion About Counterfactual Class. - Nakyeong Yang; Taegwan Kang; Kyomin Jung (ICASSP, 2022)

Gated Relational Encoder-Decoder Model for Target-Oriented Opinion Word Extraction. - Taegwan Kang; Segwang Kim; Hyeongu Yun; Hwanhee Lee; Kyomin Jung (IEEE Access, 2022)

CRISPR: Eliminating Bias Neurons from an Instruction-following Language Model. - Nakyeong Yang; Taegwan Kang; Kyomin Jung (CoRR, 2023)

Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination. - Nakyeong Yang; Taegwan Kang; Stanley Jungkyu Choi; Honglak Lee; Kyomin Jung (ACL (1), 2024)

Flowlogue: A Novel Framework for Synthetic Dialogue Generation With Structured Flow From Text Passages. - Yongil Kim; Yerin Hwang; Hyunkyung Bae; Taegwan Kang; Kyomin Jung (IEEE Access, 2024)

LLMs can be easily Confused by Instructional Distractions. - Yerin Hwang; Yongil Kim; Jahyun Koo 004; Taegwan Kang; Hyunkyung Bae; Kyomin Jung (ACL (1), 2025)

SWITCH: Studying with Teacher for Knowledge Distillation of Large Language Models. - Jahyun Koo 004; Yerin Hwang; Yongil Kim; Taegwan Kang; Hyunkyung Bae; Kyomin Jung (NAACL (Findings), 2025)

Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation. - Yerin Hwang; Dongryeol Lee; Kyungmin Min; Taegwan Kang; Yongil Kim; Kyomin Jung (CoRR, 2025)

Don't Judge Code by Its Cover: Exploring Biases in LLM Judges for Code Evaluation. - Jiwon Moon; Yerin Hwang; Dongryeol Lee; Taegwan Kang; Yongil Kim; Kyomin Jung (CoRR, 2025)

Can You Trick the Grader? Adversarial Persuasion of LLM Judges. - Yerin Hwang; Dongryeol Lee; Taegwan Kang; Yongil Kim; Kyomin Jung (CoRR, 2025)