If you're interested in the following research topics and are considering graduate studies at GSDS, I encourage you to intern at my lab (ideally for more than one semester prior to your graduate application). Please email me your transcript, CV, and research interests.
- Enhancing AI agents' reasoning via reinforcement learning and simulations
- AI agents that interact with physical devices, software tools, and multimodal data
- Inner workings of diffusion language models and vision-language-action models / Model surgery
- Pluralistic value alignment and steering for AI agents
- Other AI topics
For those interested in an internship or co-advising for 융합전공, I recommend taking my "Large Language Models and Conversational AI (거대언어모델과 대화형 인공지능)" course.
Courses
Research Topics
Publications
In-N-Out: A Parameter-Level API Graph Dataset for Tool Agents arXiv
[TACL] Transactions of the Association for Computational Linguistics, 2026 (To Appear)
ThinkBrake: Mitigating Overthinking in Tool Reasoning arXiv
Workshop on Efficient Reasoning @ NeurIPS 2025
도구 증강 에이전트: 자율성에서 상호작용으로의 진화 PDF
정보과학회지 제43권 제11호 통권 제438호 특집원고, 2025
MatKV: Trading Compute for Flash Storage in LLM Inference
[ICDE] 2026 IEEE 42nd International Conference on Data Engineering, 2026
Sparse and Dense Retrievers Learn Better Together: Joint Sparse-Dense Optimization for Text-Image Retrieval Paper arXiv
[CIKM] Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025
Value Portrait: Assessing Language Models' Values through Psychometrically and Ecologically Valid Items Paper Video Poster
[ACL] Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, 2025
PVP: An Image Dataset for Personalized Visual Persuasion with Persuasion Strategies, Viewer Characteristics, and Persuasiveness Ratings Paper Video Poster
[ACL] Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, 2025
Dialogue Systems for Emotional Support via Value Reinforcement Paper Video Poster Lecture
[ACL] Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, 2025
Improving Dialogue State Tracking through Combinatorial Search for In-Context Examples Paper Video Poster
[ACL] Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, 2025
Generating Plausible Distractors for Multiple-Choice Questions via Student Choice Prediction Paper Video Poster
[ACL] Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, 2025
Knowledge Tracing in Programming Education Integrating Students' Questions Paper Video Poster
[ACL] Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, 2025
Context-Robust Knowledge Editing for Language Models Paper Video Poster
[ACL-Findings] Findings of the Association for Computational Linguistics: ACL, 2025
The Open Argument Mining Framework Paper
[ACL-Demo] Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (System Demonstrations), 2025
ToolDial: Multi-turn Dialogue Generation Method for Tool-Augmented Language Models Paper
[ICLR] The Thirteenth International Conference on Learning Representations, 2025
KMI: A Dataset of Korean Motivational Interviewing Dialogues for Psychotherapy Paper
[NAACL] The 2025 Annual Conference of the Nations of the Americas Chapter of the ACL, 2025
Towards Lifelong Dialogue Agents via Timeline-based Memory Management Paper
[NAACL] The 2025 Annual Conference of the Nations of the Americas Chapter of the ACL, 2025
Ask Optimal Questions: Aligning Large Language Models with Retriever's Preference in Conversational Search Paper
[NAACL-Findings] Findings of the Association for Computational Linguistics: NAACL, 2025
Model-based Preference Optimization in Abstractive Summarization without Human Feedback Paper
[EMNLP] Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Generalizing Visual Question Answering from Synthetic to Human-Written Questions via a Chain of QA with a Large Language Model Paper
[ECAI] Proceedings of the 27th European Conference on Artificial Intelligence, 2024
Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes Paper
[ACL-Findings] Findings of the Association for Computational Linguistics: ACL, 2024
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
Test-of-Time Award (Honorable Mention)
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
Future Policy Aware Preference Learning for Mathematical Reasoning arXiv
Under Review
Knowledge Editing with Subspace-Aware Key-Value Mappings arXiv
Under Review
Bridging the Knowledge-Prediction Gap in LLMs on Multiple-Choice Questions arXiv
Under Review
Non-Collaborative User Simulators for Tool Agents arXiv
Under Review
SimuHome: A Temporal- and Environment-Aware Benchmark for Smart Home LLM Agents arXiv
Under Review
Dual Mechanisms of Value Expression: Intrinsic vs. Prompted Values in LLMs arXiv
Under Review
Don't Adapt Small Language Models for Tools; Adapt Tool Schemas to the Models arXiv
Under Review
Quantifying Data Contamination in Psychometric Evaluations of LLMs arXiv
Under Review
Established Psychometric vs. Ecologically Valid Questionnaires: Rethinking Psychological Assessments in Large Language Models arXiv
Under Review
Psychometric Item Validation Using Virtual Respondents with Trait-Response Mediators arXiv
Under Review
ProPerSim: Developing Proactive and Personalized AI Assistants through User-Assistant Simulation arXiv
Under Review
DialSim: A Real-Time Simulator for Evaluating Long-Term Dialogue Understanding of Conversational Agents arXiv
arXiv:2406.13144 [cs.AI], 2024






