Students interested in the following research topics and the GSDS Ph.D. program are invited to email me. Please include your CV and research interests.
- Grounding language models in tools and multimodal data
- Value alignment for language models
- Dialogue systems for persuasion, emotional support, health care, and education
- Reinforcement learning for dialogue systems
- Knowledge awareness and editing in language models
- Other NLP topics
Courses
- Fall 2024: Conversational AI, Computing for Data Science 1
Publications
Generalizing Visual Question Answering from Synthetic to Human-Written Questions via a Chain of QA with a Large Language Model [arXiv]
[ECAI] Proceedings of the 27th European Conference on Artificial Intelligence, 2024 (To Appear)
Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes [arXiv]
[ACL-Findings] Findings of the Association for Computational Linguistics: ACL, 2024 (To Appear)
Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information [Paper]
[NAACL-Findings] Findings of the Association for Computational Linguistics: NAACL, 2024
From Values to Opinions: Predicting Human Behaviors and Stances Using Value-Injected Large Language Models [Paper|Video]
[EMNLP] Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models [Paper|Video]
[EMNLP-Findings] Findings of the Association for Computational Linguistics: EMNLP, 2023
Multi-User MultiWOZ: Task-Oriented Dialogues among Multiple Users [Paper|Video]
[EMNLP-Findings] Findings of the Association for Computational Linguistics: EMNLP, 2023
A Zero-Shot Approach for Multi-User Task-Oriented Dialog Generation [Paper]
[INLG] Proceedings of the 16th International Natural Language Generation Conference, 2023
FactKG: Fact Verification via Reasoning on Knowledge Graphs [Paper]
[ACL] Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, 2023
Open-WikiTable: Dataset for Open Domain Question Answering with Complex Reasoning over Table [Paper]
[ACL-Findings] Findings of the Association for Computational Linguistics: ACL, 2023
A Closer Look at the Intervention Procedure of Concept Bottleneck Models [Paper]
[ICML] Proceedings of the 40th International Conference on Machine Learning, 2023
Argument Mining for Review Helpfulness Prediction [Paper]
[EMNLP] Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Status Biases in Deliberation Online: Evidence from a Randomized Experiment on ChangeMyView [Paper]
[EMNLP-Findings] Findings of the Association for Computational Linguistics: EMNLP, 2022
Toward Computational Argumentation with Reasoning and Knowledge [PDF]
Ph.D. Thesis, 2021
Knowledge-Enhanced Evidence Retrieval for Counterargument Generation [Paper]
[EMNLP-Findings] Findings of the Association for Computational Linguistics: EMNLP, 2021
Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes [Paper|Git]
[TACL] Transactions of the Association for Computational Linguistics, vol. 9, 2021
Detecting Attackable Sentences in Arguments [Paper]
[EMNLP] Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Extracting Implicitly Asserted Propositions in Argumentation [Paper]
[EMNLP] Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Machine-Aided Annotation for Fine-Grained Proposition Types in Argumentation [Paper]
[LREC] Proceedings of the 12th International Conference on Language Resources and Evaluation, 2020
A Cascade Model for Proposition Extraction in Argumentation [Paper]
Proceedings of the 6th Workshop on Argument Mining, 2019
Using Functional Schemas to Understand Social Media Narratives [Paper]
Proceedings of the Second Workshop on Storytelling, 2019
Attentive Interaction Model: Modeling Changes in View in Argumentation [Paper|Homepage]
[NAACL] Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Perceptions of Censorship and Moderation in Political Debate Forums [Paper|Homepage]
[ICWSM] Proceedings of the 12th International AAAI Conference on Web and Social Media, 2018
Time Series Analysis of Clickstream Logs from Online Courses [Report]
arXiv:1809.04177 [cs.HC], 2018
Roles and Success in Wikipedia Talk Pages: Identifying Latent Patterns of Behavior [Paper]
[IJCNLP] Proceedings of the 8th International Joint Conference on Natural Language Processing, 2017
Best Student Paper Award
Modeling Dialogue Acts with Content Word Filtering and Speaker Preferences [Paper|Homepage]
[EMNLP] Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Combining LSTM and Latent Topic Modeling for Mortality Prediction [Report]
arXiv:1709.02842 [cs.CL], 2017
Simplifying the Bible and Wikipedia Using Statistical Machine Translation [Report]
arXiv:1703.08646 [cs.CL], 2017
Metaphor Detection Using Topic Transition, Emotion, and Cognition in Context [Paper]
[ACL] Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
Expediting Support for Social Learning with Behavior Modeling [Paper|TechReport]
[EDM] Proceedings of the 9th International Conference on Educational Data Mining, 2016
Pipeline for Expediting Learning Analytics and Student Support from Data in Social Learning [Paper|Poster]
[LAK] Poster at the 6th International Learning Analytics and Knowledge Conference (LAK), 2016
Time Series Analysis of Nursing Notes for Mortality Prediction via State Transition Topic Model [Paper|Slides|Home]
[CIKM] Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
Metaphor Detection in Discourse [Paper]
[SIGDial] Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2015
Aspect and Sentiment Unification Model for Online Review Analysis [Paper|Home]
[WSDM] Proceedings of the 4th ACM International Conference on Web Search and Data Mining, 2011
Do you feel what I feel? Social Aspects of Emotions in Twitter Conversations [Paper]
[Workshop] Workshop on Computational Social Science and the Wisdom of Crowds, 2011
Analysis of Twitter Lists as a Potential Source for Discovering Latent Characteristics of Users [Paper]
[Workshop] Workshop on Microblogging, 2010
Learning Influence Propagation of Personal Blogs with Content and Network Analyses [Paper]
[SocialCom] Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010
Preprints
DialSim: A Real-Time Simulator for Evaluating Long-Term Dialogue Understanding of Conversational Agents [arXiv]
arXiv:2406.13144 [cs.AI], 2024
Ask Optimal Questions: Aligning Large Language Models with Retriever's Preference in Conversational Search [arXiv]
arXiv:2402.11827 [cs.IR], 2024
THEANINE: Revisiting Memory Management in Long-term Conversations with Timeline-augmented Response Generation [arXiv]
arXiv:2406.10996 [cs.CL], 2024
Education
- Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
- Ph.D. in Language and Information Technologies (Advisor: Prof. Eduard Hovy) (2021)
- M.S. in Language Technologies (Advisor: Prof. Carolyn P. Rosé) (2016)
- Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
- M.S. in Computer Science (Advisor: Prof. Alice Oh) (2011)
- B.S. in Computer Science (2009)
Work
- Assistant Professor, Seoul National University (Sept 2023–Present)
- Applied Scientist, Amazon.com, Inc. (Aug 2021–Aug 2023)
- ML Research & NLP Intern, Apple Inc. (June–Aug 2020)
- Research & Development Intern, Educational Testing Service (ETS) (June–July 2017)
- Researcher, Electronics and Telecommunications Research Institute (ETRI) (Feb 2011–July 2014)
- Software Engineering Intern, MirageWorks (June–Aug 2008)
Services
- Area Chair for LREC-COLING 2024
- Organizing Committee for the 9th Argument Mining Workshop
Awards
- WSDM Test of Time Award Honorable Mention @ International Conference on Web Search and Data Mining (2023)
- CMU GuSH Research Grants (2019–2021)
- CMU Presidential Fellowship (2019–2020)
- Kwanjeong Scholarship by Kwanjeong Educational Foundation (2014–2020)
- IJCNLP Best Student Paper Award @ International Joint Conference on Natural Language Processing (2017)
- Outstanding Master's Thesis Award by KAIST School of Computing (2011)
- Graduation with Honors, Summa Cum Laude, KAIST (2009)
- National Research Scholarship by Korea Student Aid Foundation (2009–2011)
- National Scholarship by Korea Student Aid Foundation (2004–2008)