| 2026 | AAAI | Align to Structure: Aligning Large Language Models with Structural Information. | Zae Myung Kim, Anand Ramachandran, Farideh Tavazoee, Joo-Kyung Kim, Oleg Rokhlenko, Dongyeop Kang |
| 2026 | ACL | When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs. | Soyeong Jeong, Taehee Jung, Sung Ju Hwang, Joo-Kyung Kim, Dongyeop Kang |
| 2026 | EACL | SafeSearch: Do Not Trade Safety for Utility in LLM Search Agents. | Qiusi Zhan, Angeline Budiman-Chan, Abdelrahman Zayed, Xingzhi Guo, Daniel Kang, Joo-Kyung Kim |
| 2025 | AAAI | 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 |
| 2025 | ACL | MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning. | Chanwoo Park, Seungju Han, Xingzhi Guo, Asuman E. Ozdaglar, Kaiqing Zhang, Joo-Kyung Kim |
| 2024 | ACL | II-MMR: Identifying and Improving Multi-modal Multi-hop Reasoning in Visual Question Answering. | Jihyung Kil, Farideh Tavazoee, Dongyeop Kang, Joo-Kyung Kim |
| 2024 | EMNLP | Generative Subgraph Retrieval for Knowledge Graph-Grounded Dialog Generation. | Jinyoung Park, Minseok Joo, Joo-Kyung Kim, Hyunwoo J. Kim |
| 2023 | EACL | Cluster-Guided Label Generation in Extreme Multi-Label Classification. | Taehee Jung, Joo-Kyung Kim, Sungjin Lee, Dongyeop Kang |
| 2021 | ASRU | Deciding Whether to Ask Clarifying Questions in Large-Scale Spoken Language Understanding. | Joo-Kyung Kim, Guoyin Wang, Sungjin Lee, Young-Bum Kim |
| 2020 | ICASSP | Pseudo Labeling and Negative Feedback Learning for Large-Scale Multi-Label Domain Classification. | Joo-Kyung Kim, Young-Bum Kim |
| 2018 | EMNLP | Supervised Domain Enablement Attention for Personalized Domain Classification. | Joo-Kyung Kim, Young-Bum Kim |
| 2018 | Interspeech | 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 |
| 2018 | NAACL | 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 |
| 2017 | EMNLP | Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources. | Joo-Kyung Kim, Young-Bum Kim, Ruhi Sarikaya, Eric Fosler-Lussier |
| 2015 | NAACL | Neural word embeddings with multiplicative feature interactions for tensor-based compositions. | Joo-Kyung Kim, Marie-Catherine de Marneffe, Eric Fosler-Lussier |
| 2013 | EMNLP | Deriving Adjectival Scales from Continuous Space Word Representations. | Joo-Kyung Kim, Marie-Catherine de Marneffe |
| 2007 | CEC | Evolving hypernetworks for pattern classification. | Joo-Kyung Kim, Byoung-Tak Zhang |
| 2006 | DNA | DNA Hypernetworks for Information Storage and Retrieval. | Byoung-Tak Zhang, Joo-Kyung Kim |