Chenhao Tan

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Lillian LeeProfessor of Computer Science, Cornell University. Pls see my homepg for data+updates+slides+etcVerified email at cs.cornell.edu
Vivian LaiVisa ResearchVerified email at colorado.edu
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Amit SharmaPrincipal Researcher, Microsoft ResearchVerified email at cornell.edu
Tang JieWeBank Chair Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Chacha ChenUniversity of ChicagoVerified email at uchicago.edu
Q.Vera LiaoMicrosoft ResearchVerified email at microsoft.com
Ramaravind Kommiya MothilalUniversity of TorontoVerified email at mail.utoronto.ca
Samuel CartonAssistant Professor, University of New HampshireVerified email at unh.edu
Cristian Danescu-Niculescu-MizilAssociate Professor, Cornell UniversityVerified email at cs.cornell.edu
Yangfeng JiComputer Science, University of VirginiaVerified email at virginia.edu
Han LiuUniversity of ChicagoVerified email at uchicago.edu
Shi FengNew York UniversityVerified email at nyu.edu
Brian KeeganUniversity of Colorado BoulderVerified email at colorado.edu
Daniel RomeroUniversity of MichiganVerified email at umich.edu
Alison M Smith-RennerDataminrVerified email at cs.umd.edu
Yiming ZhangCarnegie Mellon UniversityVerified email at cs.cmu.edu
Michael WeisbachProfessor of Finance, Ohio State UniversityVerified email at fisher.osu.edu
Isil ErelDavid A. Rismiller Chair in Finance; Academic Director, Risk Institute, Fisher College of BusinessVerified email at osu.edu
Léa H. SternUniversity of WashingtonVerified email at uw.edu

Chenhao Tan

University of Chicago

Verified email at chenhaot.com - Homepage

natural language processing human-centered machine learning human-AI interaction computational social science pubs verified


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Explaining machine learning classifiers through diverse counterfactual explanations RK Mothilal, A Sharma, C Tan Proceedings of the 2020 conference on fairness, accountability, and …, 2020	1088	2020
User-level sentiment analysis incorporating social networks C Tan, L Lee, J Tang, L Jiang, M Zhou, P Li Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	588	2011
Winning arguments: Interaction dynamics and persuasion strategies in good-faith online discussions C Tan, V Niculae, C Danescu-Niculescu-Mizil, L Lee Proceedings of the 25th international conference on world wide web, 613-624, 2016	408	2016
On human predictions with explanations and predictions of machine learning models: A case study on deception detection V Lai, C Tan Proceedings of the conference on fairness, accountability, and transparency …, 2019	400	2019
Creative writing with a machine in the loop: Case studies on slogans and stories E Clark, AS Ross, C Tan, Y Ji, NA Smith Proceedings of the 23rd International Conference on Intelligent User …, 2018	284	2018
The effect of wording on message propagation: Topic-and author-controlled natural experiments on Twitter C Tan, L Lee, B Pang Proceedings of ACL, 2014	241	2014
Preserving causal constraints in counterfactual explanations for machine learning classifiers D Mahajan, C Tan, A Sharma arXiv preprint arXiv:1912.03277, 2019	235	2019
Towards a science of human-ai decision making: a survey of empirical studies V Lai, C Chen, QV Liao, A Smith-Renner, C Tan arXiv preprint arXiv:2112.11471, 2021	216*	2021
Selecting directors using machine learning I Erel, LH Stern, C Tan, MS Weisbach The Review of Financial Studies 34 (7), 3226-3264, 2021	202	2021
Neural models for documents with metadata D Card, C Tan, NA Smith arXiv preprint arXiv:1705.09296, 2017	154*	2017
On the interplay between social and topical structure DM Romero, C Tan, J Ugander Proc. 7th International AAAI Conference on Weblogs and Social Media (ICWSM), 2013	145	2013
Causal reasoning and large language models: Opening a new frontier for causality E Kıcıman, R Ness, A Sharma, C Tan arXiv preprint arXiv:2305.00050, 2023	143	2023
"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans V Lai, H Liu, C Tan arXiv preprint arXiv:2001.05871, 2020	138	2020
Social action tracking via noise tolerant time-varying factor graphs C Tan, J Tang, J Sun, Q Lin, F Wang Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	138	2010
Dynamic entity representations in neural language models Y Ji, C Tan, S Martschat, Y Choi, NA Smith arXiv preprint arXiv:1708.00781, 2017	125	2017
All who wander: On the prevalence and characteristics of multi-community engagement C Tan, L Lee Proceedings of the 24th International Conference on World Wide Web, 1056-1066, 2015	116	2015
Active example selection for in-context learning Y Zhang, S Feng, C Tan arXiv preprint arXiv:2211.04486, 2022	111	2022
Understanding the effect of out-of-distribution examples and interactive explanations on human-ai decision making H Liu, V Lai, C Tan Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2), 1-45, 2021	111	2021
Joint bilingual sentiment classification with unlabeled parallel corpora B Lu, C Tan, C Cardie, BK Tsou Proceedings of the 49th annual meeting of the association for computational …, 2011	110	2011
Efficient document clustering via online nonnegative matrix factorizations F Wang, P Li, C König Proceedings of the 11th SIAM Conference on Data Mining, 2011	106	2011

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