| 2026 | ACL | ReFEree: Reference-Free and Fine-Grained Method for Evaluating Factual Consistency in Real-World Code Summarization. | Suyoung Bae, CheolWon Na, Jaehoon Lee, Yumin Lee, YunSeok Choi, Jee-Hyong Lee |
| 2026 | ACL | UCGRec: User-Centric Graph Learning for LLM-based Sequential Recommendation. | HanBeul Kim, CheolWon Na, Suyoung Bae, YunSeok Choi, Jee-Hyong Lee |
| 2026 | ACL | EXPO-SQL: Execution-based Clause-level Policy Optimization for Text-to-SQL. | Jaehoon Lee, CheolWon Na, Suyoung Bae, Jin-Seop Lee, Jihyung Lee, YunSeok Choi, Jee-Hyong Lee |
| 2026 | EACL | Unsupervised Detection of LLM-Generated Text in Korean Using Syntactic and Semantic Cues. | Heejeong Jeon, Minsu Park, YunSeok Choi, Eunil Park |
| 2025 | ACL | DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph. | Jihyung Lee, Jin-Seop Lee, Jaehoon Lee, YunSeok Choi, Jee-Hyong Lee |
| 2025 | NAACL | SALAD: Improving Robustness and Generalization through Contrastive Learning with Structure-Aware and LLM-Driven Augmented Data. | Suyoung Bae, YunSeok Choi, Hyojun Kim, Jee-Hyong Lee |
| 2025 | NAACL | DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models. | Suyoung Bae, YunSeok Choi, Jee-Hyong Lee |
| 2025 | NAACL | CoRAC: Integrating Selective API Document Retrieval with Question Semantic Intent for Code Question Answering. | YunSeok Choi, CheolWon Na, Jee-Hyong Lee |
| 2025 | NAACL | Q-FAKER: Query-free Hard Black-box Attack via Controlled Generation. | CheolWon Na, YunSeok Choi, Jee-Hyong Lee |
| 2024 | COLING | Code Defect Detection Using Pre-trained Language Models with Encoder-Decoder via Line-Level Defect Localization. | Jimin An, YunSeok Choi, Jee-Hyong Lee |
| 2023 | ACL | CodePrompt: Task-Agnostic Prefix Tuning for Program and Language Generation. | YunSeok Choi, Jee-Hyong Lee |
| 2023 | ACL | BLOCSUM: Block Scope-based Source Code Summarization via Shared Block Representation. | YunSeok Choi, Hyojun Kim, Jee-Hyong Lee |
| 2023 | ACL | DIP: Dead code Insertion based Black-box Attack for Programming Language Model. | CheolWon Na, YunSeok Choi, Jee-Hyong Lee |
| 2023 | SIGIR | LOAM: Improving Long-tail Session-based Recommendation via Niche Walk Augmentation and Tail Session Mixup. | Heeyoon Yang, YunSeok Choi, Gahyung Kim, Jee-Hyong Lee |
| 2022 | EMNLP | TABS: Efficient Textual Adversarial Attack for Pre-trained NL Code Model Using Semantic Beam Search. | YunSeok Choi, Hyojun Kim, Jee-Hyong Lee |
| 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 | SAC | An embedding method for unseen words considering contextual information and morphological information. | Min-Sub Won, YunSeok Choi, Samuel Kim, CheolWon Na, Jee-Hyong Lee |
| 2020 | SAC | Attention history-based attention for abstractive text summarization. | Hyunsoo Lee, YunSeok Choi, Jee-Hyong Lee |