Yohan Jo

According to our database, Yohan Jo authored at least 33 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Ever-Evolving Memory by Blending and Refining the Past.

Seo Hyun Kim, Keummin Ka, Yohan Jo, Seung-won Hwang, Dongha Lee, Jinyoung Yeo

CoRR, 2024

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

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

CoRR, 2024

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

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

CoRR, 2024

2023

Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes.

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

CoRR, 2023

A Zero-Shot Approach for Multi-User Task-Oriented Dialog Generation.

Shiv Surya, Yohan Jo, Arijit Biswas, Alexandros Potamianos

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

A Closer Look at the Intervention Procedure of Concept Bottleneck Models.

Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee

Proceedings of the International Conference on Machine Learning, 2023

KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models.

Jiho Kim, Yeonsu Kwon, Yohan Jo, Edward Choi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

From Values to Opinions: Predicting Human Behaviors and Stances Using Value-Injected Large Language Models.

Dongjun Kang, Joonsuk Park, Yohan Jo, JinYeong Bak

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

Multi-User MultiWOZ: Task-Oriented Dialogues among Multiple Users.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Open-WikiTable : Dataset for Open Domain Question Answering with Complex Reasoning over Table.

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

FactKG: Fact Verification via Reasoning on Knowledge Graphs.

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Status Biases in Deliberation Online: Evidence from a Randomized Experiment on ChangeMyView.

Emaad Manzoor, Yohan Jo, Alan Montgomery

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Argument Mining for Review Helpfulness Prediction.

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

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

2021

Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes.

Yohan Jo, Seojin Bang, Chris Reed, Eduard H. Hovy

Trans. Assoc. Comput. Linguistics, 2021

Knowledge-Enhanced Evidence Retrieval for Counterargument Generation.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Machine-Aided Annotation for Fine-Grained Proposition Types in Argumentation.

Yohan Jo, Elijah Mayfield, Chris Reed, Eduard H. Hovy

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Extracting Implicitly Asserted Propositions in Argumentation.

Yohan Jo, Jacky Visser, Chris Reed, Eduard H. Hovy

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

Detecting Attackable Sentences in Arguments.

Yohan Jo, Seojin Bang, Emaad A. Manzoor, Eduard H. Hovy, Chris Reed

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

2019

A Cascade Model for Proposition Extraction in Argumentation.

Yohan Jo, Jacky Visser, Chris Reed, Eduard H. Hovy

Proceedings of the 6th Workshop on Argument Mining, ArgMining@ACL 2019, Florence, Italy, 2019

2018

Time Series Analysis of Clickstream Logs from Online Courses.

Yohan Jo, Keith Maki, Gaurav Tomar

CoRR, 2018

Attentive Interaction Model: Modeling Changes in View in Argumentation.

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

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 Bias in Political Debate Forums.

Qinlan Shen, Michael Miller Yoder, Yohan Jo, Carolyn P. Rosé

Proceedings of the Twelfth International Conference on Web and Social Media, 2018

2017

Combining LSTM and Latent Topic Modeling for Mortality Prediction.

Yohan Jo, Lisa Lee, Shruti Palaskar

CoRR, 2017

Simplifying the Bible and Wikipedia Using Statistical Machine Translation.

Yohan Jo

CoRR, 2017

Roles and Success in Wikipedia Talk Pages: Identifying Latent Patterns of Behavior.

Keith Maki, Michael Yoder, Yohan Jo, Carolyn P. Rosé

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Modeling Dialogue Acts with Content Word Filtering and Speaker Preferences.

Yohan Jo, Michael Yoder, Hyeju Jang, Carolyn P. Rosé

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

2016

Pipeline for expediting learning analytics and student support from data in social learning.

Yohan Jo, Gaurav Tomar, Oliver Ferschke, Carolyn Penstein Rosé, Dragan Gasevic

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016

Expediting Support for Social Learning with Behavior Modeling.

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

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

Metaphor Detection with Topic Transition, Emotion and Cognition in Context.

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

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

2015

Metaphor Detection in Discourse.

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

Proceedings of the SIGDIAL 2015 Conference, 2015

Time Series Analysis of Nursing Notes for Mortality Prediction via a State Transition Topic Model.

Yohan Jo, Natasha Loghmanpour, Carolyn P. Rosé

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

2011

Aspect and sentiment unification model for online review analysis.

Yohan Jo, Alice Oh

Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

2010

Learning Influence Propagation of Personal Blogs with Content and Network Analyses.

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

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