| 2026 | SAC | LiMO: Line-level Machine-generated Code Detection for Diverse Programming Languages. | Taekhyun Kim, Hyejoon Jang, Suyoung Kim, Zhenming Jin, Suin Kim, JinYeong Bak |
| 2026 | SAC | Enhancing Emotion-Cause Pair Extraction in Conversation with Contextual Information. | Jaehyeok Lee, JinYeong Bak |
| 2025 | ACL | Unintended Harms of Value-Aligned LLMs: Psychological and Empirical Insights. | Sooyung Choi, Jaehyeok Lee, Xiaoyuan Yi, Jing Yao, Xing Xie, JinYeong Bak |
| 2025 | NAACL | Self-Training Meets Consistency: Improving LLMs' Reasoning with Consistency-Driven Rationale Evaluation. | Jaehyeok Lee, Keisuke Sakaguchi, JinYeong Bak |
| 2024 | ECAI | Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments. | Heeyoung Lee, Hoyoon Byun, Changdae Oh, JinYeong Bak, Kyungwoo Song |
| 2024 | ICML | Memoria: Resolving Fateful Forgetting Problem through Human-Inspired Memory Architecture. | Sangjun Park, JinYeong Bak |
| 2024 | NAACL | PEMA: An Offsite-Tunable Plug-in External Memory Adaptation for Language Models. | HyunJin Kim, Young Jin Kim, JinYeong Bak |
| 2023 | EMNLP | From Values to Opinions: Predicting Human Behaviors and Stances Using Value-Injected Large Language Models. | Dongjun Kang, Joonsuk Park, Yohan Jo, JinYeong Bak |
| 2023 | EMNLP | It Ain't Over: A Multi-aspect Diverse Math Word Problem Dataset. | Jiwoo Kim, Youngbin Kim, Ilwoong Baek, JinYeong Bak, Jongwuk Lee |
| 2023 | EMNLP | Diversity Enhanced Narrative Question Generation for Storybooks. | Hokeun Yoon, JinYeong Bak |
| 2022 | EMNLP | Translating Hanja Historical Documents to Contemporary Korean and English. | Juhee Son, Jiho Jin, Haneul Yoo, JinYeong Bak, Kyunghyun Cho, Alice Oh |
| 2022 | NAACL | HUE: Pretrained Model and Dataset for Understanding Hanja Documents of Ancient Korea. | Haneul Yoo, Jiho Jin, Juhee Son, JinYeong Bak, Kyunghyun Cho, Alice Oh |
| 2022 | WWW | Genre-Controllable Story Generation via Supervised Contrastive Learning. | Jin-Uk Cho, Min-Su Jeong, JinYeong Bak, Yun-Gyung Cheong |
| 2022 | SAC | IA-BERT: context-aware sarcasm detection by incorporating incongruity attention layer for feature extraction. | Ida Ayu Putu Ari Crisdayanti, JinYeong Bak, YunSeok Choi, Jee-Hyong Lee |
| 2021 | ACL | Learning Sequential and Structural Information for Source Code Summarization. | YunSeok Choi, JinYeong Bak, CheolWon Na, Jee-Hyong Lee |
| 2021 | EMNLP | Knowledge-Enhanced Evidence Retrieval for Counterargument Generation. | Yohan Jo, Haneul Yoo, JinYeong Bak, Alice Oh, Chris Reed, Eduard H. Hovy |
| 2020 | ACL | Speaker Sensitive Response Evaluation Model. | JinYeong Bak, Alice Oh |
| 2019 | EMNLP | Variational Hierarchical User-based Conversation Model. | JinYeong Bak, Alice Oh |
| 2018 | EMNLP | Conversational Decision Making Model for Predicting King's Decision in the Annals of the Joseon Dynasty. | JinYeong Bak, Alice Oh |
| 2017 | CHI | Itchtector: A Wearable-based Mobile System for Managing Itching Conditions. | Jongin Lee, Dae-ki Cho, Junhong Kim, Eunji Im, JinYeong Bak, Kyung ho Lee, KwanHong Lee, John Kim |
| 2017 | EMNLP | Rotated Word Vector Representations and their Interpretability. | Sungjoon Park, JinYeong Bak, Alice Oh |
| 2014 | EMNLP | Self-disclosure topic model for classifying and analyzing Twitter conversations. | JinYeong Bak, Chin-Yew Lin, Alice Oh |
| 2012 | ACL | Self-Disclosure and Relationship Strength in Twitter Conversations. | JinYeong Bak, Suin Kim, Alice Oh |
| 2012 | ICWSM | Do You Feel What I Feel? Social Aspects of Emotions in Twitter Conversations. | Suin Kim, JinYeong Bak, Alice Oh |