Yohan Jo

If you're interested in the following research topics and are considering graduate studies at GSDS, I encourage you to intern at my lab. Please email me your transcript, CV, and research interests. I also recommend that you take my course "Conversational AI (대화형 인공지능)".

  • Agents grounded in tools and multimodal data
  • Reasoning enhancement via RL and multi-agent simulation
  • Knowledge representation and editing in language models
  • Pluralistic value alignment and steering for language models
  • Personalized multimodal dialogue systems
  • Other AI topics

Courses

Publications

  1. Value Portrait: Understanding Values of LLMs with Human-aligned Benchmark [arXiv]

    Jongwook Han, Dongmin Choi, Woojung Song, Eun-Ju Lee, Yohan Jo

    [ACL] Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, 2025 (To Appear)

  2. PVP: An Image Dataset for Personalized Visual Persuasion with Persuasiveness Ratings, Persuasion Strategies, and Viewer Characteristics [PDF]

    Junseo Kim, Jongwook Han, Dongmin Choi, Jongwook Yoon, Eun-Ju Lee, Yohan Jo

    [ACL] Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, 2025 (To Appear)

  3. Dialogue Systems for Emotional Support via Value Reinforcement [arXiv]

    Juhee Kim, Chunghu Mok, Jisun Lee, Hyang Sook Kim, Yohan Jo

    [ACL] Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, 2025 (To Appear)

  4. Improving Dialogue State Tracking through Combinatorial Search for In-Context Examples

    Haesung Pyun, Yoonah Park, Yohan Jo

    [ACL] Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, 2025 (To Appear)

  5. Generating Plausible Distractors for Multiple-Choice Questions via Student Choice Prediction [arXiv]

    Yooseop Lee, Suin Kim, Yohan Jo

    [ACL] Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, 2025 (To Appear)

  6. Knowledge Tracing in Programming Education Integrating Students' Questions [arXiv]

    Doyoun Kim, Suin Kim, Yohan Jo

    [ACL] Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, 2025 (To Appear)

  7. Context-Robust Knowledge Editing for Language Models

    HaeWon Park, Gyubin Choi, Minjun Kim, Yohan Jo

    [ACL-Findings] Findings of the Association for Computational Linguistics: ACL, 2025 (To Appear)

  8. ToolDial: Multi-turn Dialogue Generation Method for Tool-Augmented Language Models [Paper]

    Jeonghoon Shim, Gyuhyeon Seo, Cheongsu Lim, Yohan Jo

    [ICLR] The Thirteenth International Conference on Learning Representations, 2025

  9. KMI: A Dataset of Korean Motivational Interviewing Dialogues for Psychotherapy [Paper]

    Hyunjong Kim, Suyeon Lee, Yeongjae Cho, Eunseo Ryu, Yohan Jo, Suran Seong, Sungzoon Cho

    [NAACL] The 2025 Annual Conference of the Nations of the Americas Chapter of the ACL, 2025

  10. Towards Lifelong Dialogue Agents via Timeline-based Memory Management [Paper]

    Kai Tzu-iunn Ong, Namyoung Kim, Minju Gwak, Hyungjoo Chae, Taeyoon Kwon, Yohan Jo, Seung-won Hwang, Dongha Lee, Jinyoung Yeo

    [NAACL] The 2025 Annual Conference of the Nations of the Americas Chapter of the ACL, 2025

  11. Ask Optimal Questions: Aligning Large Language Models with Retriever's Preference in Conversational Search [Paper]

    Chanwoong Yoon, Gangwoo Kim, Byeongguk Jeon, Sungdong Kim, Yohan Jo, Jaewoo Kang

    [NAACL-Findings] Findings of the Association for Computational Linguistics: NAACL, 2025

  12. Model-based Preference Optimization in Abstractive Summarization without Human Feedback [Paper]

    Jaepill Choi, Kyubyung Chae, Jiwoo Song, Yohan Jo, Taesup Kim

    [EMNLP] Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

  13. Generalizing Visual Question Answering from Synthetic to Human-Written Questions via a Chain of QA with a Large Language Model [Paper]

    Taehee Kim, Yeongjae Cho, Heejun Shin, Yohan Jo, Dongmyung Shin

    [ECAI] Proceedings of the 27th European Conference on Artificial Intelligence, 2024

  14. Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes [Paper]

    Sunjun Kweon, Junu Kim, Jiyoun Kim, Sujeong Im, Eunbyeol Cho, Seongsu Bae, Jungwoo Oh, Gyubok Lee, Jong Hak Moon, Seng Chan You, Seungjin Baek, Chang Hoon Han, Yoon Bin Jung, Yohan Jo, Edward Choi

    [ACL-Findings] Findings of the Association for Computational Linguistics: ACL, 2024

  15. Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information [Paper]

    Kyubyung Chae, Jaepill Choi, Yohan Jo, Taesup Kim

    [NAACL-Findings] Findings of the Association for Computational Linguistics: NAACL, 2024

  16. From Values to Opinions: Predicting Human Behaviors and Stances Using Value-Injected Large Language Models [Paper|Video]

    Dongjun Kang, Joonsuk Park, Yohan Jo, JinYeong Bak

    [EMNLP] Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

  17. KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models [Paper|Video]

    Jiho Kim, Yeonsu Kwon, Yohan Jo, Edward Choi

    [EMNLP-Findings] Findings of the Association for Computational Linguistics: EMNLP, 2023

  18. Multi-User MultiWOZ: Task-Oriented Dialogues among Multiple Users [Paper|Video]

    Yohan Jo, Xinyan Zhao, Arijit Biswas, Nikoletta Basiou, Vincent Auvray, Nikolaos Malandrakis, Angeliki Metallinou, Alexandros Potamianos

    [EMNLP-Findings] Findings of the Association for Computational Linguistics: EMNLP, 2023

  19. A Zero-Shot Approach for Multi-User Task-Oriented Dialog Generation [Paper]

    Shiv Surya, Yohan Jo, Arijit Biswas, Alexandros Potamianos

    [INLG] Proceedings of the 16th International Natural Language Generation Conference, 2023

  20. FactKG: Fact Verification via Reasoning on Knowledge Graphs [Paper]

    Jiho Kim, Sungjin Park, Yeonsu Kwon, Yohan Jo, James Thorne, Edward Choi

    [ACL] Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, 2023

  21. Open-WikiTable: Dataset for Open Domain Question Answering with Complex Reasoning over Table [Paper]

    Sunjun Kweon, Yeonsu Kwon, Seonhee Cho, Yohan Jo, Edward Choi

    [ACL-Findings] Findings of the Association for Computational Linguistics: ACL, 2023

  22. A Closer Look at the Intervention Procedure of Concept Bottleneck Models [Paper]

    Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee

    [ICML] Proceedings of the 40th International Conference on Machine Learning, 2023

  23. Argument Mining for Review Helpfulness Prediction [Paper]

    Zaiqian Chen, Daniel Verdi do Amarante, Jenna Donaldson, Yohan Jo, Joonsuk Park

    [EMNLP] Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

  24. Status Biases in Deliberation Online: Evidence from a Randomized Experiment on ChangeMyView [Paper]

    Emaad Manzoor, Yohan Jo, Alan L. Montgomery

    [EMNLP-Findings] Findings of the Association for Computational Linguistics: EMNLP, 2022

  25. Toward Computational Argumentation with Reasoning and Knowledge [PDF]

    Yohan Jo

    Ph.D. Thesis, 2021

  26. Knowledge-Enhanced Evidence Retrieval for Counterargument Generation [Paper]

    Yohan Jo, Haneul Yoo, JinYeong Bak, Alice Oh, Chris Reed, Eduard Hovy

    [EMNLP-Findings] Findings of the Association for Computational Linguistics: EMNLP, 2021

  27. Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes [Paper|Git]

    Yohan Jo, Seojin Bang, Chris Reed, Eduard Hovy

    [TACL] Transactions of the Association for Computational Linguistics, vol. 9, 2021

  28. Detecting Attackable Sentences in Arguments [Paper]

    Yohan Jo, Seojin Bang, Emaad Manzoor, Eduard Hovy, Chris Reed

    [EMNLP] Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

  29. Extracting Implicitly Asserted Propositions in Argumentation [Paper]

    Yohan Jo, Jacky Visser, Chris Reed, Eduard Hovy

    [EMNLP] Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

  30. Machine-Aided Annotation for Fine-Grained Proposition Types in Argumentation [Paper]

    Yohan Jo, Elijah Mayfield, Chris Reed, Eduard Hovy

    [LREC] Proceedings of the 12th International Conference on Language Resources and Evaluation, 2020

  31. A Cascade Model for Proposition Extraction in Argumentation [Paper]

    Yohan Jo, Jacky Visser, Chris Reed, Eduard Hovy

    Proceedings of the 6th Workshop on Argument Mining, 2019

  32. Using Functional Schemas to Understand Social Media Narratives [Paper]

    Xinru Yan, Aakanksha Naik, Yohan Jo, Carolyn P. Rose

    Proceedings of the Second Workshop on Storytelling, 2019

  33. Attentive Interaction Model: Modeling Changes in View in Argumentation [Paper|Homepage]

    Yohan Jo, Shivani Poddar, Byungsoo Jeon, Qinlan Shen, Carolyn P. Rose, Graham Neubig

    [NAACL] Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

  34. Perceptions of Censorship and Moderation in Political Debate Forums [Paper|Homepage]

    Qinlan Shen, Michael Yoder, Yohan Jo, Carolyn P. Rose

    [ICWSM] Proceedings of the 12th International AAAI Conference on Web and Social Media, 2018

  35. Time Series Analysis of Clickstream Logs from Online Courses [Report]

    Yohan Jo*, Keith Maki*, Gaurav Tomar*

    arXiv:1809.04177 [cs.HC], 2018

  36. Roles and Success in Wikipedia Talk Pages: Identifying Latent Patterns of Behavior [Paper]

    Keith Maki, Michael Miller Yoder, Yohan Jo, Carolyn P. Rose

    [IJCNLP] Proceedings of the 8th International Joint Conference on Natural Language Processing, 2017

    Best Student Paper Award

  37. Modeling Dialogue Acts with Content Word Filtering and Speaker Preferences [Paper|Homepage]

    Yohan Jo, Michael Miller Yoder, Hyeju Jang, Carolyn P. Rose

    [EMNLP] Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

  38. Combining LSTM and Latent Topic Modeling for Mortality Prediction [Report]

    Yohan Jo, Lisa Lee, Shruti Palaskar

    arXiv:1709.02842 [cs.CL], 2017

  39. Simplifying the Bible and Wikipedia Using Statistical Machine Translation [Report]

    Yohan Jo

    arXiv:1703.08646 [cs.CL], 2017

  40. Metaphor Detection Using Topic Transition, Emotion, and Cognition in Context [Paper]

    Hyeju Jang, Yohan Jo, Michael Miller, Qinlan Shen, Seungwhan Moon, Carolyn P. Rose

    [ACL] Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

  41. Expediting Support for Social Learning with Behavior Modeling [Paper|TechReport]

    Yohan Jo, Gaurav Tomar, Oliver Ferschke, Carolyn P. Rose, Dragan Gasevic

    [EDM] Proceedings of the 9th International Conference on Educational Data Mining, 2016

  42. Pipeline for Expediting Learning Analytics and Student Support from Data in Social Learning [Paper|Poster]

    Yohan Jo, Gaurav Tomar, Oliver Ferschke, Carolyn P. Rose, Dragan Gasevic

    [LAK] Poster at the 6th International Learning Analytics and Knowledge Conference (LAK), 2016

  43. Time Series Analysis of Nursing Notes for Mortality Prediction via State Transition Topic Model [Paper|Slides|Home]

    Yohan Jo, Natasha Loghmanpour, Carolyn P. Rose

    [CIKM] Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

  44. Metaphor Detection in Discourse [Paper]

    Hyeju Jang, Seungwhan Moon, Yohan Jo, Carolyn P. Rose

    [SIGDial] Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2015

  45. Aspect and Sentiment Unification Model for Online Review Analysis [Paper|Home]

    Yohan Jo, Alice Oh

    [WSDM] Proceedings of the 4th ACM International Conference on Web Search and Data Mining, 2011

    Test-of-Time Award (Honorable Mention)

  46. Do you feel what I feel? Social Aspects of Emotions in Twitter Conversations [Paper]

    Suin Kim, JinYeong Bak, Yohan Jo, Alice Oh

    [Workshop] Workshop on Computational Social Science and the Wisdom of Crowds, 2011

  47. Analysis of Twitter Lists as a Potential Source for Discovering Latent Characteristics of Users [Paper]

    Dongwoo Kim, Yohan Jo, Alice Oh

    [Workshop] Workshop on Microblogging, 2010

  48. Learning Influence Propagation of Personal Blogs with Content and Network Analyses [Paper]

    Il-Chul Moon, Dongwoo Kim, Yohan Jo, Alice Oh

    [SocialCom] Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010

Preprints

  1. DialSim: A Real-Time Simulator for Evaluating Long-Term Dialogue Understanding of Conversational Agents [arXiv]

    Jiho Kim, Woosog Chay, Hyeonji Hwang, Daeun Kyung, Hyunseung Chung, Eunbyeol Cho, Yohan Jo, Edward Choi

    arXiv:2406.13144 [cs.AI], 2024

Work