DNA Hypernetworks for Information Storage and Retrieval. - Byoung-Tak Zhang; Joo-Kyung Kim (DNA, 2006)

Evolving hypernetworks for pattern classification. - Joo-Kyung Kim; Byoung-Tak Zhang (IEEE Congress on Evolutionary Computation, 2007)

Deriving Adjectival Scales from Continuous Space Word Representations. - Joo-Kyung Kim; Marie-Catherine de Marneffe (EMNLP, 2013)

Neural word embeddings with multiplicative feature interactions for tensor-based compositions. - Joo-Kyung Kim; Marie-Catherine de Marneffe; Eric Fosler-Lussier (VS@HLT-NAACL, 2015)

Adjusting Word Embeddings with Semantic Intensity Orders. - Joo-Kyung Kim; Marie-Catherine de Marneffe; Eric Fosler-Lussier (Rep4NLP@ACL, 2016)

Intent detection using semantically enriched word embeddings. - Joo-Kyung Kim; Gökhan Tür; Asli Celikyilmaz; Bin Cao; Ye-Yi Wang (SLT, 2016)

Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources. - Joo-Kyung Kim; Young-Bum Kim; Ruhi Sarikaya; Eric Fosler-Lussier (EMNLP, 2017)

Supervised Domain Enablement Attention for Personalized Domain Classification. - Joo-Kyung Kim; Young-Bum Kim (EMNLP, 2018)

Joint Learning of Domain Classification and Out-of-Domain Detection with Dynamic Class Weighting for Satisficing False Acceptance Rates. - Joo-Kyung Kim; Young-Bum Kim (INTERSPEECH, 2018)

A Scalable Neural Shortlisting-Reranking Approach for Large-Scale Domain Classification in Natural Language Understanding. - Young-Bum Kim; Dongchan Kim; Joo-Kyung Kim; Ruhi Sarikaya (NAACL-HLT (3), 2018)

Pseudo Labeling and Negative Feedback Learning for Large-Scale Multi-Label Domain Classification. - Joo-Kyung Kim; Young-Bum Kim (ICASSP, 2020)

Deciding Whether to Ask Clarifying Questions in Large-Scale Spoken Language Understanding. - Joo-Kyung Kim; Guoyin Wang 002; Sungjin Lee; Young-Bum Kim (ASRU, 2021)

Cluster-Guided Label Generation in Extreme Multi-Label Classification. - Taehee Jung; Joo-Kyung Kim; Sungjin Lee; Dongyeop Kang (EACL, 2023)

Graph-Guided Reasoning for Multi-Hop Question Answering in Large Language Models. - Jinyoung Park; Ameen Patel; Omar Zia Khan; Hyunwoo J. Kim; Joo-Kyung Kim (CoRR, 2023)

II-MMR: Identifying and Improving Multi-modal Multi-hop Reasoning in Visual Question Answering. - Jihyung Kil; Farideh Tavazoee; Dongyeop Kang; Joo-Kyung Kim (ACL (Findings), 2024)

Generative Subgraph Retrieval for Knowledge Graph-Grounded Dialog Generation. - Jinyoung Park; Minseok Joo; Joo-Kyung Kim; Hyunwoo J. Kim (EMNLP, 2024)

Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models. - Shirley Anugrah Hayati; Taehee Jung; Tristan Bodding-Long; Sudipta Kar; Abhinav Sethy; Joo-Kyung Kim; Dongyeop Kang (AAAI, 2025)

MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning. - Chanwoo Park; Seungju Han 002; Xingzhi Guo; Asuman E. Ozdaglar; Kaiqing Zhang; Joo-Kyung Kim (ACL (1), 2025)

Align to Structure: Aligning Large Language Models with Structural Information. - Zae Myung Kim; Anand Ramachandran; Farideh Tavazoee; Joo-Kyung Kim; Oleg Rokhlenko; Dongyeop Kang (CoRR, 2025)