| 2025 | ACL | Dynamic Label Name Refinement for Few-Shot Dialogue Intent Classification. | Gyutae Park, Ingeol Baek, Byeongjeong Kim, Joongbo Shin, Hwanhee Lee |
| 2025 | EMNLP | FQ-Eval: Building Evaluation Dataset for User-centered Follow-up Question Generation. | Sanghyun Seo, Bumsoo Kang, Dahm Lee, Jaeheon Kim, Joongbo Shin, Euisoon Kim, Kijeong Jeon |
| 2025 | EMNLP | FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge. | Nakyeong Yang, Minsung Kim, Seunghyun Yoon, Joongbo Shin, Kyomin Jung |
| 2024 | ACL | Deep Exploration of Cross-Lingual Zero-Shot Generalization in Instruction Tuning. | Janghoon Han, Changho Lee, Joongbo Shin, Stanley Jungkyu Choi, Honglak Lee, Kyunghoon Bae |
| 2024 | CIKM | A New Framework for Evaluating Faithfulness of Video Moment Retrieval against Multiple Distractors. | Nakyeong Yang, Minsung Kim, Seunghyun Yoon, Joongbo Shin, Kyomin Jung |
| 2024 | SIGdial | Exploring the Use of Natural Language Descriptions of Intents for Large Language Models in Zero-shot Intent Classification. | Taesuk Hong, Youbin Ahn, Dongkyu Lee, Joongbo Shin, Seungpil Won, Janghoon Han, Stanley Jungkyu Choi, Jungyun Seo |
| 2023 | ACL | Injecting Comparison Skills in Task-Oriented Dialogue Systems for Database Search Results Disambiguation. | Yongil Kim, Yerin Hwang, Joongbo Shin, Hyunkyung Bae, Kyomin Jung |
| 2023 | ACL | BREAK: Breaking the Dialogue State Tracking Barrier with Beam Search and Re-ranking. | Seungpil Won, Heeyoung Kwak, Joongbo Shin, Janghoon Han, Kyomin Jung |
| 2023 | ICLR | Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners. | Seonghyeon Ye, Doyoung Kim, Joel Jang, Joongbo Shin, Minjoon Seo |
| 2022 | EMNLP | TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models. | Joel Jang, Seonghyeon Ye, Changho Lee, Sohee Yang, Joongbo Shin, Janghoon Han, Gyeonghun Kim, Minjoon Seo |
| 2022 | ICLR | Towards Continual Knowledge Learning of Language Models. | Joel Jang, Seonghyeon Ye, Sohee Yang, Joongbo Shin, Janghoon Han, Gyeonghun Kim, Stanley Jungkyu Choi, Minjoon Seo |
| 2021 | ICLR | Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech. | Yoonhyung Lee, Joongbo Shin, Kyomin Jung |
| 2021 | NAACL | KPQA: A Metric for Generative Question Answering Using Keyphrase Weights. | Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Joongbo Shin, Kyomin Jung |
| 2020 | ACL | Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning. | Joongbo Shin, Yoonhyung Lee, Seunghyun Yoon, Kyomin Jung |
| 2019 | AAAI | Detecting Incongruity between News Headline and Body Text via a Deep Hierarchical Encoder. | Seunghyun Yoon, Kunwoo Park, Joongbo Shin, Hongjun Lim, Seungpil Won, Meeyoung Cha, Kyomin Jung |
| 2019 | AAAI | Improving Neural Question Generation Using Answer Separation. | Yanghoon Kim, Hwanhee Lee, Joongbo Shin, Kyomin Jung |
| 2018 | NAACL | Learning to Rank Question-Answer Pairs Using Hierarchical Recurrent Encoder with Latent Topic Clustering. | Seunghyun Yoon, Joongbo Shin, Kyomin Jung |