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ORCIDYohan Jo
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2020 – today
- 2024
[c27]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:
Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes. ACL (Findings) 2024: 5148-5168- [c26]Kyubyung Chae, Jaepill Choi, Yohan Jo, Taesup Kim:
Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information. NAACL-HLT (Findings) 2024: 1809-1820 - [i22]Taehee Kim, Yeongjae Cho, Heejun Shin, Yohan Jo, Dongmyung Shin:
Generalizing Visual Question Answering from Synthetic to Human-Written Questions via a Chain of QA with a Large Language Model. CoRR abs/2401.06400 (2024) - [i21]Chanwoong Yoon, Gangwoo Kim, Byeongguk Jeon, Sungdong Kim, Yohan Jo, Jaewoo Kang:
Ask Optimal Questions: Aligning Large Language Models with Retriever's Preference in Conversational Search. CoRR abs/2402.11827 (2024) - [i20]Seo Hyun Kim, Keummin Ka, Yohan Jo, Seung-won Hwang, Dongha Lee, Jinyoung Yeo:
Ever-Evolving Memory by Blending and Refining the Past. CoRR abs/2403.04787 (2024) - [i19]Kyubyung Chae, Jaepill Choi, Yohan Jo, Taesup Kim:
Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information. CoRR abs/2404.09480 (2024) - [i18]Seo Hyun Kim, Kai Tzu-iunn Ong, Taeyoon Kwon, Namyoung Kim, Keummin Ka, SeongHyeon Bae, Yohan Jo, Seung-won Hwang, Dongha Lee, Jinyoung Yeo:
THEANINE: Revisiting Memory Management in Long-term Conversations with Timeline-augmented Response Generation. CoRR abs/2406.10996 (2024) - [i17]Jiho Kim, Woosog Chay, Hyeonji Hwang, Daeun Kyung, Hyunseung Chung, Eunbyeol Cho, Yohan Jo, Edward Choi:
DialSim: A Real-Time Simulator for Evaluating Long-Term Dialogue Understanding of Conversational Agents. CoRR abs/2406.13144 (2024) - 2023
- [c25]Sunjun Kweon, Yeonsu Kwon, Seonhee Cho, Yohan Jo, Edward Choi:
Open-WikiTable : Dataset for Open Domain Question Answering with Complex Reasoning over Table. ACL (Findings) 2023: 8285-8297 - [c24]Jiho Kim, Sungjin Park, Yeonsu Kwon, Yohan Jo, James Thorne, Edward Choi:
FactKG: Fact Verification via Reasoning on Knowledge Graphs. ACL (1) 2023: 16190-16206 - [c23]Yohan Jo, Xinyan Zhao, Arijit Biswas, Nikoletta Basiou, Vincent Auvray, Nikolaos Malandrakis, Angeliki Metallinou, Alexandros Potamianos:
Multi-User MultiWOZ: Task-Oriented Dialogues among Multiple Users. EMNLP (Findings) 2023: 3237-3269 - [c22]Jiho Kim, Yeonsu Kwon, Yohan Jo, Edward Choi:
KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models. EMNLP (Findings) 2023: 9410-9421 - [c21]Dongjun Kang, Joonsuk Park, Yohan Jo, JinYeong Bak:
From Values to Opinions: Predicting Human Behaviors and Stances Using Value-Injected Large Language Models. EMNLP 2023: 15539-15559 - [c20]Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee:
A Closer Look at the Intervention Procedure of Concept Bottleneck Models. ICML 2023: 31504-31520 - [c19]Shiv Surya, Yohan Jo, Arijit Biswas, Alexandros Potamianos:
A Zero-Shot Approach for Multi-User Task-Oriented Dialog Generation. INLG 2023: 196-205 - [i16]Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee:
A Closer Look at the Intervention Procedure of Concept Bottleneck Models. CoRR abs/2302.14260 (2023) - [i15]Jiho Kim, Sungjin Park, Yeonsu Kwon, Yohan Jo, James Thorne, Edward Choi:
FactKG: Fact Verification via Reasoning on Knowledge Graphs. CoRR abs/2305.06590 (2023) - [i14]Sunjun Kweon, Yeonsu Kwon, Seonhee Cho, Yohan Jo, Edward Choi:
Open-WikiTable: Dataset for Open Domain Question Answering with Complex Reasoning over Table. CoRR abs/2305.07288 (2023) - [i13]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:
Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes. CoRR abs/2309.00237 (2023) - [i12]Jiho Kim, Yeonsu Kwon, Yohan Jo, Edward Choi:
KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models. CoRR abs/2310.11220 (2023) - [i11]Dongjun Kang, Joonsuk Park, Yohan Jo, JinYeong Bak:
From Values to Opinions: Predicting Human Behaviors and Stances Using Value-Injected Large Language Models. CoRR abs/2310.17857 (2023) - [i10]Yohan Jo, Xinyan Zhao, Arijit Biswas, Nikoletta Basiou, Vincent Auvray, Nikolaos Malandrakis, Angeliki Metallinou, Alexandros Potamianos:
Multi-User MultiWOZ: Task-Oriented Dialogues among Multiple Users. CoRR abs/2310.20479 (2023) - 2022
- [c18]Emaad Manzoor, Yohan Jo, Alan Montgomery:
Status Biases in Deliberation Online: Evidence from a Randomized Experiment on ChangeMyView. EMNLP (Findings) 2022: 6351-6363 - [c17]Zaiqian Chen, Daniel Verdi do Amarante, Jenna Donaldson, Yohan Jo, Joonsuk Park:
Argument Mining for Review Helpfulness Prediction. EMNLP 2022: 8914-8922 - [e1]Gabriella Lapesa, Jodi Schneider, Yohan Jo, Sougata Saha:
Proceedings of the 9th Workshop on Argument Mining, ArgMining@COLING 2022, Online and in Gyeongju, Republic of Korea, October 12 - 17, 2022. International Conference on Computational Linguistics 2022 [contents] - 2021
- [j1]Yohan Jo, Seojin Bang, Chris Reed, Eduard H. Hovy:
Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes. Trans. Assoc. Comput. Linguistics 9: 721-739 (2021) - [c16]Yohan Jo, Haneul Yoo, JinYeong Bak, Alice Oh, Chris Reed, Eduard H. Hovy:
Knowledge-Enhanced Evidence Retrieval for Counterargument Generation. EMNLP (Findings) 2021: 3074-3094 - [i9]Yohan Jo, Seojin Bang, Chris Reed, Eduard H. Hovy:
Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes. CoRR abs/2105.07571 (2021) - [i8]Yohan Jo, Haneul Yoo, JinYeong Bak, Alice Oh, Chris Reed, Eduard H. Hovy:
Knowledge-Enhanced Evidence Retrieval for Counterargument Generation. CoRR abs/2109.09057 (2021) - 2020
- [c15]Yohan Jo, Seojin Bang, Emaad A. Manzoor, Eduard H. Hovy, Chris Reed:
Detecting Attackable Sentences in Arguments. EMNLP (1) 2020: 1-23 - [c14]Yohan Jo, Jacky Visser, Chris Reed, Eduard H. Hovy:
Extracting Implicitly Asserted Propositions in Argumentation. EMNLP (1) 2020: 24-38 - [c13]Yohan Jo, Elijah Mayfield, Chris Reed, Eduard H. Hovy:
Machine-Aided Annotation for Fine-Grained Proposition Types in Argumentation. LREC 2020: 1008-1018 - [i7]Yohan Jo, Jacky Visser, Chris Reed, Eduard H. Hovy:
Extracting Implicitly Asserted Propositions in Argumentation. CoRR abs/2010.02654 (2020) - [i6]Yohan Jo, Seojin Bang, Emaad A. Manzoor, Eduard H. Hovy, Chris Reed:
Detecting Attackable Sentences in Arguments. CoRR abs/2010.02660 (2020)
2010 – 2019
- 2019
- [c12]Yohan Jo, Jacky Visser, Chris Reed, Eduard H. Hovy:
A Cascade Model for Proposition Extraction in Argumentation. ArgMining@ACL 2019: 11-24 - 2018
- [c11]Qinlan Shen, Michael Miller Yoder, Yohan Jo, Carolyn P. Rosé:
Perceptions of Censorship and Moderation Bias in Political Debate Forums. ICWSM 2018: 350-359 - [c10]Yohan Jo, Shivani Poddar, Byungsoo Jeon, Qinlan Shen, Carolyn P. Rosé, Graham Neubig:
Attentive Interaction Model: Modeling Changes in View in Argumentation. NAACL-HLT 2018: 103-116 - [i5]Yohan Jo, Shivani Poddar, Byungsoo Jeon, Qinlan Shen, Carolyn P. Rosé, Graham Neubig:
Attentive Interaction Model: Modeling Changes in View in Argumentation. CoRR abs/1804.00065 (2018) - [i4]Yohan Jo, Keith Maki, Gaurav Tomar:
Time Series Analysis of Clickstream Logs from Online Courses. CoRR abs/1809.04177 (2018) - 2017
- [c9]Yohan Jo, Michael Yoder, Hyeju Jang, Carolyn P. Rosé:
Modeling Dialogue Acts with Content Word Filtering and Speaker Preferences. EMNLP 2017: 2179-2189 - [c8]Keith Maki, Michael Yoder, Yohan Jo, Carolyn P. Rosé:
Roles and Success in Wikipedia Talk Pages: Identifying Latent Patterns of Behavior. IJCNLP(1) 2017: 1026-1035 - [i3]Yohan Jo:
Simplifying the Bible and Wikipedia Using Statistical Machine Translation. CoRR abs/1703.08646 (2017) - [i2]Yohan Jo, Lisa Lee, Shruti Palaskar:
Combining LSTM and Latent Topic Modeling for Mortality Prediction. CoRR abs/1709.02842 (2017) - 2016
- [c7]Hyeju Jang, Yohan Jo, Qinlan Shen, Michael Miller, Seungwhan Moon, Carolyn P. Rosé:
Metaphor Detection with Topic Transition, Emotion and Cognition in Context. ACL (1) 2016 - [c6]Yohan Jo, Gaurav Tomar, Oliver Ferschke, Carolyn P. Rosé, Dragan Gasevic:
Expediting Support for Social Learning with Behavior Modeling. EDM 2016: 400-405 - [c5]Yohan Jo, Gaurav Tomar, Oliver Ferschke, Carolyn Penstein Rosé, Dragan Gasevic:
Pipeline for expediting learning analytics and student support from data in social learning. LAK 2016: 542-543 - [i1]Yohan Jo, Gaurav Tomar, Oliver Ferschke, Carolyn P. Rosé, Dragan Gasevic:
Expediting Support for Social Learning with Behavior Modeling. CoRR abs/1605.02836 (2016) - 2015
- [c4]Yohan Jo, Natasha Loghmanpour, Carolyn P. Rosé:
Time Series Analysis of Nursing Notes for Mortality Prediction via a State Transition Topic Model. CIKM 2015: 1171-1180 - [c3]Hyeju Jang, Seungwhan Moon, Yohan Jo, Carolyn P. Rosé:
Metaphor Detection in Discourse. SIGDIAL Conference 2015: 384-392 - 2011
- [c2]Yohan Jo, Alice Oh:
Aspect and sentiment unification model for online review analysis. WSDM 2011: 815-824 - 2010
- [c1]Il-Chul Moon, Dongwoo Kim, Yohan Jo, Alice H. Oh:
Learning Influence Propagation of Personal Blogs with Content and Network Analyses. SocialCom/PASSAT 2010: 669-674
Coauthor Index
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