Yohan Jo

Assistant Professor

Graduate School of Data Science
Seoul National University

yohan.jo@snu.ac.kr

Yohan Jo

Students interested in the following research topics and summer internships are invited to email me. Please include a brief introduction about yourself and your research interests.

  • Tool-augmented / task-oriented dialogue systems
  • Value alignment for language models
  • Dialogue systems for persuasion, emotional support, and education
  • Multimodality and reinforcement learning for dialogue systems
  • Knowledge editing, grounding, awareness in language models
  • Other NLP topics

Publications

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

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

    arXiv:2402.11827 [cs.IR], 2024

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

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

    arXiv:2401.06400 [cs.CL], 2024

  3. Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information [To Appear]

    Kyubyung Chae, Jaepill choi, Yohan Jo, Taesup Kim

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

  4. Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes [arXiv]

    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

    arXiv:2309.00237 [cl.CL], 2023

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

    Dongjun Kang, Joonsuk Park, Yohan Jo, JinYeong Bak

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

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

    Jiho Kim, Yeonsu Kwon, Yohan Jo, Edward Choi

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

  7. Multi-User MultiWOZ: Task-Oriented Dialogues among Multiple Users [Preprint|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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

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

    Yohan Jo

    Ph.D. Thesis, 2021

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

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

    Yohan Jo*, Keith Maki*, Gaurav Tomar*

    arXiv:1809.04177 [cs.HC], 2018

  25. 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

  26. 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

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

    Yohan Jo, Lisa Lee, Shruti Palaskar

    arXiv:1709.02842 [cs.CL], 2017

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

    Yohan Jo

    arXiv:1703.08646 [cs.CL], 2017

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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

Services

Talks & Lectures

  • Seoul National University — Data Science Seminar (Sept 2023)
  • KAIST — Lecture Series on "ChatGPT & Applications" at KOOC & KAIST IT Academy (June 2023)
  • KAIST — Guest Lecture for "AI & Society" Course (Feb 2023)
  • Seoul National University — Data Science Seminar (Nov 2022)
  • Ulsan National Institute of Science and Technology (UNIST) — Guest Lecture for "Artificial Intelligence" Course (Dec 2021)
  • Seoul National University — Guest Lecture for "Computing Foundations for Data Science" Course (Nov 2021)
  • Gwangju Institute of Science and Technology (GIST) — Integrated Technology Seminar (Nov 2021)
  • Workshop on Argumentation Knowledge Graph @ AKBC — Keynote (Oct 2021)
  • University of Minnesota, Twin Cities — NLP Seminar (Sept 2021)
  • Sungkyunkwan University — AI Seminar (Jul 2021)
  • CMU — Guest Lecture for "Computational Semantics for NLP" Course (Apr 2020)
  • CMU — Guest Lecture for "Intro to NLP" Course (Apr 2020 & Nov 2019)

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)

Education

Work

Teaching

  • Assistant Professor, Seoul National University (Sept 2023–Present)
  • Teaching Assistant, Carnegie Mellon University (Spring & Fall 2019)
    • Introduction to Natural Language Processing
  • Teacher, Pittsburgh Westinghouse Academy 6–12 (TEALS) (Aug 2017–May 2018)
    • Programming for high school students at Westinghouse Academy 6–12
  • Teacher, Carnegie Library of Pittsburgh (June 2015–June 2016)
    • Korean for Pittsburgh residents
  • Teacher, Edushare (Feb–May 2010)
    • Math for middle school students from low-income families
  • Teaching Assistant, KAIST (Spring & Fall 2009)
    • Algorithms for undergraduate students in Problem Solving course