| 2026 | ACL | Adaptive Planning for Multi-Attribute Controllable Summarization with Monte Carlo Tree Search. | Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Geunbae Lee, Jungseul Ok |
| 2026 | ACL | Behavior-Aware Item Modeling via Dynamic Procedural Solution Representations for Knowledge Tracing. | Jun Seo, Sangwon Ryu, Heejin Do, Hyounghun Kim, Gary Lee |
| 2026 | EACL | Exploring Iterative Controllable Summarization with Large Language Models. | Sangwon Ryu, Heejin Do, Daehui Kim, Hwanjo Yu, Dongwoo Kim, Yunsu Kim, Gary Lee, Jungseul Ok |
| 2025 | ACL | Multi-Facet Blending for Faceted Query-by-Example Retrieval. | Heejin Do, Sangwon Ryu, Jonghwi Kim, Gary Lee |
| 2025 | NAACL | Revisiting Early Detection of Sexual Predators via Turn-level Optimization. | Jinmyeong An, Sangwon Ryu, Heejin Do, Yunsu Kim, Jungseul Ok, Gary Lee |
| 2025 | NAACL | Towards Prompt Generalization: Grammar-aware Cross-Prompt Automated Essay Scoring. | Heejin Do, Taehee Park, Sangwon Ryu, Gary Lee |
| 2024 | ACL | Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning. | Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Lee, Jungseul Ok |
| 2024 | EMNLP | Autoregressive Multi-trait Essay Scoring via Reinforcement Learning with Scoring-aware Multiple Rewards. | Heejin Do, Sangwon Ryu, Gary Geunbae Lee |
| 2024 | Interspeech | Key-Element-Informed sLLM Tuning for Document Summarization. | Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Geunbae Lee, Jungseul Ok |