| 2026 | ACL | Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths. | Sangam Lee, Ryang Heo, SeongKu Kang, Susik Yoon, Jinyoung Yeo, Dongha Lee |
| 2026 | ACL | P-Check: Advancing Personalized Reward Model via Learning to Generate Dynamic Checklist. | Kwangwook Seo, Dongha Lee |
| 2026 | KDD | CREAM: Continual Retrieval on Dynamic Streaming Corpora with Adaptive Soft Memory. | HuiJeong Son, Hyeongu Kang, Sunho Kim, Subeen Ho, SeongKu Kang, Dongha Lee, Susik Yoon |
| 2026 | WWW | AgenticShop: Benchmarking Agentic Product Curation for Personalized Web Shopping. | Sunghwan Kim, Ryang Heo, Yongsik Seo, Jinyoung Yeo, Dongha Lee |
| 2026 | SIGIR | IPQA: A Benchmark for Core Intent Identification in Personalized Question Answering. | Jieyong Kim, Maryam Amirizaniani, Soojin Yoon, Dongha Lee |
| 2026 | SIGIR | MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender. | Tongyoung Kim, Soojin Yoon, SeongKu Kang, Jinyoung Yeo, Dongha Lee |
| 2025 | ACL | Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization. | Sunghwan Kim, Dongjin Kang, Taeyoon Kwon, Hyungjoo Chae, Dongha Lee, Jinyoung Yeo |
| 2025 | ACL | MT-RAIG: Novel Benchmark and Evaluation Framework for Retrieval-Augmented Insight Generation over Multiple Tables. | Kwangwook Seo, Donguk Kwon, Dongha Lee |
| 2025 | EMNLP | Can Large Language Models be Effective Online Opinion Miners? | Ryang Heo, Yongsik Seo, Junseong Lee, Dongha Lee |
| 2025 | EMNLP | Can Code-Switched Texts Activate a Knowledge Switch in LLMs? A Case Study on English-Korean Code-Switching. | Seoyeon Kim, Huiseo Kim, Chanjun Park, Jinyoung Yeo, Dongha Lee |
| 2025 | EMNLP | Towards Personalized Conversational Sales Agents: Contextual User Profiling for Strategic Action. | Tongyoung Kim, Jeongeun Lee, Soojin Yoon, SungHwan Kim, Dongha Lee |
| 2025 | EMNLP | Stop Playing the Guessing Game! Evaluating Conversational Recommender Systems via Target-free User Simulation. | SungHwan Kim, Kwangwook Seo, Tongyoung Kim, Jinyoung Yeo, Dongha Lee |
| 2025 | EMNLP | How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code. | Seonghyeon Lee, Heejae Chon, Joonwon Jang, Dongha Lee, Hwanjo Yu |
| 2025 | ICLR | Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation. | Hyungjoo Chae, Namyoung Kim, Kai Tzu-iunn Ong, Minju Gwak, Gwanwoo Song, Jihoon Kim, Sunghwan Kim, Dongha Lee, Jinyoung Yeo |
| 2025 | NAACL | Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics. | Seungbeen Lee, Seungwon Lim, Seungju Han, Giyeong Oh, Hyungjoo Chae, Jiwan Chung, Minju Kim, Beong-woo Kwak, Yeonsoo Lee, Dongha Lee, Jinyoung Yeo, Youngjae Yu |
| 2025 | NAACL | Towards Lifelong Dialogue Agents via Timeline-based Memory Management. | Kai Tzu-iunn Ong, Namyoung Kim, Minju Gwak, Hyungjoo Chae, Taeyoon Kwon, Yohan Jo, Seung-won Hwang, Dongha Lee, Jinyoung Yeo |
| 2025 | SIGIR | Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation. | Jieyong Kim, Hyunseo Kim, Hyunjin Cho, SeongKu Kang, Buru Chang, Jinyoung Yeo, Dongha Lee |
| 2025 | WSDM | Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation. | SeongKu Kang, Bowen Jin, Wonbin Kweon, Yu Zhang, Dongha Lee, Jiawei Han, Hwanjo Yu |
| 2025 | WSDM | Unsupervised Robust Cross-Lingual Entity Alignment via Neighbor Triple Matching with Entity and Relation Texts. | Soojin Yoon, Sungho Ko, Tongyoung Kim, SeongKu Kang, Jinyoung Yeo, Dongha Lee |
| 2024 | AAAI | Multi-Domain Recommendation to Attract Users via Domain Preference Modeling. | Hyunjun Ju, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang, Hwanjo Yu |
| 2024 | AAAI | Large Language Models Are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales. | Taeyoon Kwon, Kai Tzu-iunn Ong, Dongjin Kang, Seungjun Moon, Jeong Ryong Lee, Dosik Hwang, Beomseok Sohn, Yongsik Sim, Dongha Lee, Jinyoung Yeo |
| 2024 | ACL | Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation. | Dongjin Kang, Sunghwan Kim, Taeyoon Kwon, Seungjun Moon, Hyunsouk Cho, Youngjae Yu, Dongha Lee, Jinyoung Yeo |
| 2024 | ACL | Self-Consistent Reasoning-based Aspect-Sentiment Quad Prediction with Extract-Then-Assign Strategy. | Jieyong Kim, Ryang Heo, Yongsik Seo, SeongKu Kang, Jinyoung Yeo, Dongha Lee |
| 2024 | ACL | Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset. | Minjin Kim, Minju Kim, Hana Kim, Beong-woo Kwak, SeongKu Kang, Youngjae Yu, Jinyoung Yeo, Dongha Lee |
| 2024 | ACL | VerifiNER: Verification-augmented NER via Knowledge-grounded Reasoning with Large Language Models. | Seoyeon Kim, Kwangwook Seo, Hyungjoo Chae, Jinyoung Yeo, Dongha Lee |
| 2024 | CVPR | Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection. | Suyeon Kim, Dongha Lee, SeongKu Kang, Sukang Chae, Sanghwan Jang, Hwanjo Yu |
| 2024 | EACL | Commonsense-augmented Memory Construction and Management in Long-term Conversations via Context-aware Persona Refinement. | Hana Kim, Kai Tzu-iunn Ong, Seoyeon Kim, Dongha Lee, Jinyoung Yeo |
| 2024 | EACL | Evidentiality-aware Retrieval for Overcoming Abstractiveness in Open-Domain Question Answering. | Yongho Song, Dahyun Lee, Myungha Jang, Seung-won Hwang, Kyungjae Lee, Dongha Lee, Jinyoung Yeo |
| 2024 | EMNLP | Taxonomy-guided Semantic Indexing for Academic Paper Search. | SeongKu Kang, Yunyi Zhang, Pengcheng Jiang, Dongha Lee, Jiawei Han, Hwanjo Yu |
| 2024 | EMNLP | Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering. | Sungho Ko, Hyunjin Cho, Hyungjoo Chae, Jinyoung Yeo, Dongha Lee |
| 2024 | EMNLP | Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation. | Seonghyeon Lee, Suyeon Kim, Joonwon Jang, Heejae Chon, Dongha Lee, Hwanjo Yu |
| 2024 | EMNLP | Cactus: Towards Psychological Counseling Conversations using Cognitive Behavioral Theory. | Suyeon Lee, Sunghwan Kim, Minju Kim, Dongjin Kang, Dongil Yang, Harim Kim, Minseok Kang, Dayi Jung, Min Hee Kim, Seungbeen Lee, Kyoung-Mee Chung, Youngjae Yu, Dongha Lee, Jinyoung Yeo |
| 2024 | EMNLP | Make Compound Sentences Simple to Analyze: Learning to Split Sentences for Aspect-based Sentiment Analysis. | Yongsik Seo, Sungwon Song, Ryang Heo, Jieyong Kim, Dongha Lee |
| 2024 | EMNLP | Unveiling Implicit Table Knowledge with Question-Then-Pinpoint Reasoner for Insightful Table Summarization. | Kwangwook Seo, Jinyoung Yeo, Dongha Lee |
| 2024 | MICCAI | Bag of Tricks for Diabetic Retinopathy and Diabetic Macular Edema Classification in Ultra-widefield Imaging. | Hyeonmin Kim, Yunnie Cho, Ohhyun Kwon, Dongha Lee |
| 2024 | NAACL | RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization. | Seonglae Cho, Myungha Jang, Jinyoung Yeo, Dongha Lee |
| 2024 | NAACL | Exploring Language Model's Code Generation Ability with Auxiliary Functions. | Seonghyeon Lee, Sanghwan Jang, Seongbo Jang, Dongha Lee, Hwanjo Yu |
| 2024 | WWW | Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. | SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han |
| 2023 | AAAI | Learning Topology-Specific Experts for Molecular Property Prediction. | Suyeon Kim, Dongha Lee, SeongKu Kang, Seonghyeon Lee, Hwanjo Yu |
| 2023 | EMNLP | Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents. | Hyungjoo Chae, Yongho Song, Kai Tzu-iunn Ong, Taeyoon Kwon, Minjin Kim, Youngjae Yu, Dongha Lee, Dongyeop Kang, Jinyoung Yeo |
| 2023 | WWW | Distillation from Heterogeneous Models for Top-K Recommendation. | SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu |
| 2023 | WWW | SCStory: Self-supervised and Continual Online Story Discovery. | Susik Yoon, Yu Meng, Dongha Lee, Jiawei Han |
| 2023 | SIGIR | Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding. | Susik Yoon, Dongha Lee, Yunyi Zhang, Jiawei Han |
| 2022 | ACL | Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning. | Seonghyeon Lee, Dongha Lee, Seongbo Jang, Hwanjo Yu |
| 2022 | EMNLP | Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation. | Dongha Lee, Jiaming Shen, Seonghyeon Lee, Susik Yoon, Hwanjo Yu, Jiawei Han |
| 2022 | WWW | Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering. | Seongku Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu |
| 2022 | WWW | TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. | Dongha Lee, Jiaming Shen, Seongku Kang, Susik Yoon, Jiawei Han, Hwanjo Yu |
| 2021 | AAAI | Learnable Dynamic Temporal Pooling for Time Series Classification. | Dongha Lee, Seonghyeon Lee, Hwanjo Yu |
| 2021 | ACL | OoMMix: Out-of-manifold Regularization in Contextual Embedding Space for Text Classification. | Seonghyeon Lee, Dongha Lee, Hwanjo Yu |
| 2021 | ICCV | Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time Warping. | Dongha Lee, Sehun Yu, Hyunjun Ju, Hwanjo Yu |
| 2021 | ICDM | Out-of-Category Document Identification Using Target-Category Names as Weak Supervision. | Dongha Lee, Dongmin Hyun, Jiawei Han, Hwanjo Yu |
| 2021 | ICDM | Learnable Structural Semantic Readout for Graph Classification. | Dongha Lee, Su Kim, Seonghyeon Lee, Chanyoung Park, Hwanjo Yu |
| 2021 | SIGIR | Bootstrapping User and Item Representations for One-Class Collaborative Filtering. | Dongha Lee, SeongKu Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu |
| 2020 | IJCAI | Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image Detection. | Sehun Yu, Dongha Lee, Hwanjo Yu |
| 2020 | KDD | Multi-Class Data Description for Out-of-distribution Detection. | Dongha Lee, Sehun Yu, Hwanjo Yu |
| 2019 | CIKM | Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users. | SeongKu Kang, Junyoung Hwang, Dongha Lee, Hwanjo Yu |
| 2019 | IJCAI | Action Space Learning for Heterogeneous User Behavior Prediction. | Dongha Lee, Chanyoung Park, Hyunjun Ju, Junyoung Hwang, Hwanjo Yu |
| 2018 | CIKM | Disk-based Matrix Completion for Memory Limited Devices. | Dongha Lee, Jinoh Oh, Christos Faloutsos, Byungju Kim, Hwanjo Yu |
| 2018 | ICDM | Fast Tucker Factorization for Large-Scale Tensor Completion. | Dongha Lee, Jaehyung Lee, Hwanjo Yu |
| 2008 | SIGGRAPH | Multi-focal compound eye: liquid lens array for computational photography. | Kensuke Ueda, Dongha Lee, Takafumi Koike, Keita Takahashi, Takeshi Naemura |
| 2006 | PDPTA | Maintaining Update Consistency in Replicated Peer-to-Peer Systems. | Minyoung Choi, Haengrae Cho, Dongha Lee, Youngmin Park |