| 2026 | ACL | LLMs as Knowledge Graph Refiners: Mitigating Factual Inconsistencies in Generative Knowledge Extraction. | Donghyun Kim, Hyeongjun Yang, Seokju Hwang, Kyong-Ho Lee, Chanhee Lee |
| 2026 | ACL | Data-Efficient Adaptation to Contextual Shifts in LLM-based Conversational Recommendation. | Hyeongjun Yang, Donghyun Kim, Seokju Hwang, Midan Shim, Kyuhwan Yeom, Kaehyun Um, Kyong-Ho Lee |
| 2026 | WWW | RPO-RAG: Aligning Small LLMs with Relation-aware Preference Optimization for Knowledge Graph Question Answering. | Kaehyun Um, Kyuhwan Yeom, Haerim Yang, Minyoung Choi, Hyeongjun Yang, Kyong-Ho Lee |
| 2024 | KDD | Embedding Two-View Knowledge Graphs with Class Inheritance and Structural Similarity. | Kyuhwan Yeom, Hyeongjun Yang, Gayeon Park, Myeongheon Jeon, Yunjeong Ko, Byungkook Oh, Kyong-Ho Lee |
| 2023 | EACL | CLICK: Contrastive Learning for Injecting Contextual Knowledge to Conversational Recommender System. | Hyeongjun Yang, Heesoo Won, Youbin Ahn, Kyong-Ho Lee |
| 2023 | WWW | Confident Action Decision via Hierarchical Policy Learning for Conversational Recommendation. | Heeseon Kim, Hyeongjun Yang, Kyong-Ho Lee |