Chenhao Tan

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 135

Top Venues

CoRR

Proc. ACM Hum. Comput. Interact.

WWW

ACL (1)

Publications

Yuyang Jiang, Chacha Chen, Dang Nguyen, Benjamin M. Mervak, Chenhao Tan
GPT-4V Cannot Generate Radiology Reports Yet. CoRR (2024)
Gale H. Prinster, C. Estelle Smith, Chenhao Tan, Brian C. Keegan
Community Archetypes: An Empirical Framework for Guiding Research Methodologies to Reflect User Experiences of Sense of Virtual Community on Reddit. Proc. ACM Hum. Comput. Interact. 8 (CSCW1) (2024)
Jiashuo Wang, Yang Xiao, Yanran Li, Changhe Song, Chunpu Xu, Chenhao Tan, Wenjie Li
Towards a Client-Centered Assessment of LLM Therapists by Client Simulation. CoRR (2024)
Jacy Reese Anthis, Kristian Lum, Michael D. Ekstrand, Avi Feller, Alexander D'Amour, Chenhao Tan
The Impossibility of Fair LLMs. CoRR (2024)
Brennan Schaffner, Arjun Nitin Bhagoji, Siyuan Cheng, Jacqueline Mei, Jay L. Shen, Grace Wang, Marshini Chetty, Nick Feamster, Genevieve Lakier, Chenhao Tan
"Community Guidelines Make this the Best Party on the Internet": An In-Depth Study of Online Platforms' Content Moderation Policies. CHI (2024)
Karen Zhou, Alexander A. Meitus, Milo Chase, Grace Wang, Anne Mykland, William Howell, Chenhao Tan
Quantifying the Uniqueness of Donald Trump in Presidential Discourse. CoRR (2024)
Brennan Schaffner, Arjun Nitin Bhagoji, Siyuan Cheng, Jacqueline Mei, Jay L. Shen, Grace Wang, Marshini Chetty, Nick Feamster, Genevieve Lakier, Chenhao Tan
"Community Guidelines Make this the Best Party on the Internet": An In-Depth Study of Online Platforms' Content Moderation Policies. CoRR (2024)
Tianyu Cao, Natraj Raman, Danial Dervovic, Chenhao Tan
Characterizing Multimodal Long-form Summarization: A Case Study on Financial Reports. CoRR (2024)
Jiaqi Ma, Vivian Lai, Yiming Zhang, Chacha Chen, Paul Hamilton, Davor Ljubenkov, Himabindu Lakkaraju, Chenhao Tan
OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning. CoRR (2024)
Yangqiaoyu Zhou, Haokun Liu, Tejes Srivastava, Hongyuan Mei, Chenhao Tan
Hypothesis Generation with Large Language Models. CoRR (2024)
Yuan Yuan, Tracy Xiao Liu, Chenhao Tan, Qian Chen, Alex 'Sandy' Pentland, Jie Tang
Gift Contagion in Online Groups: Evidence from Virtual Red Packets. Manag. Sci. 70 (7) (2024)
Himabindu Lakkaraju, Qiaozhu Mei, Chenhao Tan, Jie Tang, Yutong Xie
The First Workshop on AI Behavioral Science. KDD (2024)
Chao-Chun Hsu, Erin Bransom, Jenna Sparks, Bailey Kuehl, Chenhao Tan, David Wadden, Lucy Lu Wang, Aakanksha Naik
CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support. ACL (Findings) (2024)
Chao-Chun Hsu, Erin Bransom, Jenna Sparks, Bailey Kuehl, Chenhao Tan, David Wadden, Lucy Lu Wang, Aakanksha Naik
CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support. CoRR (2024)
Vivian Lai, Chacha Chen, Alison Smith-Renner, Q. Vera Liao, Chenhao Tan
Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-Subject Studies. FAccT (2023)
Yangqiaoyu Zhou, Yiming Zhang, Chenhao Tan
FLamE: Few-shot Learning from Natural Language Explanations. CoRR (2023)
Emre Kiciman, Robert Ness, Amit Sharma, Chenhao Tan
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality. CoRR (2023)
Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan
Machine Explanations and Human Understanding. Trans. Mach. Learn. Res. 2023 (2023)
Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning. NeurIPS (2023)
Benjamin Kiefer, Matej Kristan, Janez Pers, Lojze Zust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, Yitong Quan, Adem Atmaca, Timon Höfer, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Zheng Ziqiang, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang
Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. WACV (Workshops) (2023)
Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan
Machine Explanations and Human Understanding. FAccT (2023)
Dang Nguyen, Chacha Chen, He He, Chenhao Tan
Pragmatic Radiology Report Generation. CoRR (2023)
Vivian Lai, Yiming Zhang, Chacha Chen, Q. Vera Liao, Chenhao Tan
Selective Explanations: Leveraging Human Input to Align Explainable AI. Proc. ACM Hum. Comput. Interact. 7 (CSCW2) (2023)
Nan-Jiang Jiang, Chenhao Tan, Marie-Catherine de Marneffe
Understanding and Predicting Human Label Variation in Natural Language Inference through Explanation. CoRR (2023)
Mourad Heddaya, Solomon Dworkin, Chenhao Tan, Rob Voigt, Alexander Zentefis
Language of Bargaining. CoRR (2023)
Yiming Zhang, Yangqiaoyu Zhou, Samuel Carton, Chenhao Tan
Learning to Ignore Adversarial Attacks. EACL (2023)
Yangqiaoyu Zhou, Yiming Zhang, Chenhao Tan
FLamE: Few-shot Learning from Natural Language Explanations. ACL (1) (2023)
Vivian Lai, Yiming Zhang, Chacha Chen, Q. Vera Liao, Chenhao Tan
Selective Explanations: Leveraging Human Input to Align Explainable AI. CoRR (2023)
Karen Zhou, Chenhao Tan
Entity-Based Evaluation of Political Bias in Automatic Summarization. EMNLP (Findings) (2023)
Karen Zhou, Chenhao Tan
Characterizing Political Bias in Automatic Summaries: A Case Study of Trump and Biden. CoRR (2023)
Raul Castro Fernandez, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan, Chenhao Tan
How Large Language Models Will Disrupt Data Management. Proc. VLDB Endow. 16 (11) (2023)
Han Liu, Yizhou Tian, Chacha Chen, Shi Feng, Yuxin Chen, Chenhao Tan
Learning Human-Compatible Representations for Case-Based Decision Support. ICLR (2023)
Gale H. Prinster, C. Estelle Smith, Chenhao Tan, Brian C. Keegan
Community Archetypes: An Empirical Framework for Guiding Research Methodologies to Reflect User Experiences of Sense of Virtual Community. CoRR (2023)
Mourad Heddaya, Solomon Dworkin, Chenhao Tan, Rob Voigt, Alexander Zentefis
Language of Bargaining. ACL (1) (2023)
Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Y. Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning. CoRR (2023)
Chao-Chun Hsu, Ziad Obermeyer, Chenhao Tan
Clinical Notes Reveal Physician Fatigue. CoRR (2023)
Han Liu, Yizhou Tian, Chacha Chen, Shi Feng, Yuxin Chen, Chenhao Tan
Learning Human-Compatible Representations for Case-Based Decision Support. CoRR (2023)
Dang Nguyen, Chacha Chen, He He, Chenhao Tan
Pragmatic Radiology Report Generation. ML4H@NeurIPS (2023)
Nan-Jiang Jiang, Chenhao Tan, Marie-Catherine de Marneffe
Ecologically Valid Explanations for Label Variation in NLI. EMNLP (Findings) (2023)
Nan-Jiang Jiang, Chenhao Tan, Marie-Catherine de Marneffe
Ecologically Valid Explanations for Label Variation in NLI. CoRR (2023)
C. Estelle Smith, Irfanul Alam, Chenhao Tan, Brian C. Keegan, Anita L. Blanchard
The Impact of Governance Bots on Sense of Virtual Community: Development and Validation of the GOV-BOTs Scale. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
C. Estelle Smith, Irfanul Alam, Chenhao Tan, Brian C. Keegan, Anita L. Blanchard
The Impact of Governance Bots on Sense of Virtual Community: Development and Validation of the GOV-BOTs Scale. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Samuel Carton, Surya Kanoria, Chenhao Tan
What to Learn, and How: Toward Effective Learning from Rationales. ACL (Findings) (2022)
Yiming Zhang, Yangqiaoyu Zhou, Samuel Carton, Chenhao Tan
Learning to Ignore Adversarial Attacks. CoRR (2022)
Benjamin Kiefer, Matej Kristan, Janez Pers, Lojze Zust, Fabio Poiesi, Fabio Augusto de Alcantara Andrade, Alexandre Bernardino, Matthew Dawkins, Jenni Raitoharju, Yitong Quan, Adem Atmaca, Timon Höfer, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Zheng Ziqiang, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. CoRR (2022)
Vivian Lai, Samuel Carton, Rajat Bhatnagar, Q. Vera Liao, Yunfeng Zhang, Chenhao Tan
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation. CoRR (2022)
Chenhao Tan, Xin Liu, Gaoyan Zhang
Inferring Brain State Dynamics Underlying Naturalistic Stimuli Evoked Emotion Changes With dHA-HMM. Neuroinformatics 20 (3) (2022)
Himabindu Lakkaraju, Dylan Slack, Yuxin Chen, Chenhao Tan, Sameer Singh
Rethinking Explainability as a Dialogue: A Practitioner's Perspective. CoRR (2022)
Vivian Lai, Samuel Carton, Rajat Bhatnagar, Q. Vera Liao, Yunfeng Zhang, Chenhao Tan
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation. CHI (2022)
Chenhao Tan
On the Diversity and Limits of Human Explanations. NAACL-HLT (2022)
Yiming Zhang, Shi Feng, Chenhao Tan
Active Example Selection for In-Context Learning. CoRR (2022)
Yiming Zhang, Shi Feng, Chenhao Tan
Active Example Selection for In-Context Learning. EMNLP (2022)
Jamar L. Sullivan Jr., William Brackenbury, Andrew McNut, Kevin Bryson, Kwam Byll, Yuxin Chen, Michael L. Littman, Chenhao Tan, Blase Ur
Explaining Why: How Instructions and User Interfaces Impact Annotator Rationales When Labeling Text Data. NAACL-HLT (2022)
Su Lin Blodgett, Q. Vera Liao, Alexandra Olteanu, Rada Mihalcea, Michael J. Muller, Morgan Klaus Scheuerman, Chenhao Tan, Qian Yang
Responsible Language Technologies: Foreseeing and Mitigating Harms. CHI Extended Abstracts (2022)
Abhinav Kumar, Chenhao Tan, Amit Sharma
Probing Classifiers are Unreliable for Concept Removal and Detection. NeurIPS (2022)
Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan
Machine Explanations and Human Understanding. CoRR (2022)
Abhinav Kumar, Chenhao Tan, Amit Sharma
Probing Classifiers are Unreliable for Concept Removal and Detection. CoRR (2022)
Chao-Chun Hsu, Chenhao Tan
Decision-Focused Summarization. CoRR (2021)
Chao-Chun Hsu, Chenhao Tan
Decision-Focused Summarization. EMNLP (1) (2021)
Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End. AIES (2021)
Chenhao Tan
On the Diversity and Limits of Human Explanations. CoRR (2021)
Abhijit Suresh, Jennifer Jacobs, Vivian Lai, Chenhao Tan, Wayne H. Ward, James H. Martin, Tamara Sumner
Using Transformers to Provide Teachers with Personalized Feedback on their Classroom Discourse: The TalkMoves Application. CoRR (2021)
Samuel Carton, Surya Kanoria, Chenhao Tan
What to Learn, and How: Toward Effective Learning from Rationales. CoRR (2021)
Abhijit Suresh, Jennifer Jacobs, Charis Clevenger, Vivian Lai, Chenhao Tan, James H. Martin, Tamara Sumner
Using AI to Promote Equitable Classroom Discussions: The TalkMoves Application. AIED (2) (2021)
Han Liu, Vivian Lai, Chenhao Tan
Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making. CoRR (2021)
Madhusudhan Aithal, Chenhao Tan
On Positivity Bias in Negative Reviews. CoRR (2021)
Yangqiaoyu Zhou, Chenhao Tan
Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI. CoRR (2021)
Jason Shuo Zhang, Brian Keegan, Qin Lv, Chenhao Tan
Understanding the Diverging User Trajectories in Highly-related Online Communities during the COVID-19 Pandemic. ICWSM (2021)
Han Liu, Vivian Lai, Chenhao Tan
Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making. Proc. ACM Hum. Comput. Interact. 5 (CSCW2) (2021)
Vivian Lai, Chacha Chen, Q. Vera Liao, Alison Smith-Renner, Chenhao Tan
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies. CoRR (2021)
Madhusudhan Aithal, Chenhao Tan
On Positivity Bias in Negative Reviews. ACL/IJCNLP (2) (2021)
Ramaravind Kommiya Mothilal, Amit Sharma, Chenhao Tan
Explaining machine learning classifiers through diverse counterfactual explanations. FAT* (2020)
Vivian Lai, Han Liu, Chenhao Tan
"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans. CHI (2020)
Samuel Carton, Anirudh Rathore, Chenhao Tan
Evaluating and Characterizing Human Rationales. CoRR (2020)
Samuel Carton, Anirudh Rathore, Chenhao Tan
Evaluating and Characterizing Human Rationales. EMNLP (1) (2020)
Vivian Lai, Samuel Carton, Chenhao Tan
Harnessing Explanations to Bridge AI and Humans. CoRR (2020)
Vivian Lai, Han Liu, Chenhao Tan
"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans. CoRR (2020)
Brian C. Keegan, Chenhao Tan
A Quantitative Portrait of Wikipedia's High-Tempo Collaborations during the 2020 Coronavirus Pandemic. CoRR (2020)
Chao-Chun Hsu, Shantanu Karnwal, Sendhil Mullainathan, Ziad Obermeyer, Chenhao Tan
Characterizing the Value of Information in Medical Notes. EMNLP (Findings) (2020)
Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End. CoRR (2020)
Chao-Chun Hsu, Shantanu Karnwal, Sendhil Mullainathan, Ziad Obermeyer, Chenhao Tan
Characterizing the Value of Information in Medical Notes. CoRR (2020)
Jason Shuo Zhang, Brian C. Keegan, Qin Lv, Chenhao Tan
A Tale of Two Communities: Characterizing Reddit Response to COVID-19 through /r/China_Flu and /r/Coronavirus. CoRR (2020)
Divyat Mahajan, Chenhao Tan, Amit Sharma
Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers. CoRR (2019)
Vivian Lai, Chenhao Tan
On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection. FAT (2019)
Chao Luo, Chenhao Tan, Yuanjie Zheng
Long-term prediction of time series based on stepwise linear division algorithm and time-variant zonary fuzzy information granules. Int. J. Approx. Reason. 108 (2019)
Kumar Bhargav Srinivasan, Cristian Danescu-Niculescu-Mizil, Lillian Lee, Chenhao Tan
Content Removal as a Moderation Strategy: Compliance and Other Outcomes in the ChangeMyView Community. Proc. ACM Hum. Comput. Interact. 3 (CSCW) (2019)
Brian Lubars, Chenhao Tan
Ask Not What AI Can Do, But What AI Should Do: Towards a Framework of Task Delegability. CoRR (2019)
David Atkinson, Kumar Bhargav Srinivasan, Chenhao Tan
What Gets Echoed? Understanding the "Pointers" in Explanations of Persuasive Arguments. EMNLP/IJCNLP (1) (2019)
Ziqiang Cheng, Yang Yang, Chenhao Tan, Denny Cheng, Alex Cheng, Yueting Zhuang
What Makes a Good Team? A Large-scale Study on the Effect of Team Composition in Honor of Kings. WWW (2019)
Jason Shuo Zhang, Chenhao Tan, Qin Lv
Intergroup Contact in the Wild: Characterizing Language Differences between Intergroup and Single-group Members in NBA-related Discussion Forums. Proc. ACM Hum. Comput. Interact. 3 (CSCW) (2019)
Ramaravind Kommiya Mothilal, Amit Sharma, Chenhao Tan
Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations. CoRR (2019)
Vivian Lai, Zheng Cai, Chenhao Tan
Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification. EMNLP/IJCNLP (1) (2019)
Xiaochuang Han, Eunsol Choi, Chenhao Tan
No Permanent Friends or Enemies: Tracking Relationships between Nations from News. CoRR (2019)
Kumar Bhargav Srinivasan, Cristian Danescu-Niculescu-Mizil, Lillian Lee, Chenhao Tan
Content Removal as a Moderation Strategy: Compliance and Other Outcomes in the ChangeMyView Community. CoRR (2019)
Tiago Cunha, David Jurgens, Chenhao Tan, Daniel M. Romero
Are All Successful Communities Alike? Characterizing and Predicting the Success of Online Communities. WWW (2019)
Brian Lubars, Chenhao Tan
Ask not what AI can do, but what AI should do: Towards a framework of task delegability. NeurIPS (2019)
Chao Luo, Chenhao Tan, Xingyuan Wang, Yuanjie Zheng
An evolving recurrent interval type-2 intuitionistic fuzzy neural network for online learning and time series prediction. Appl. Soft Comput. 78 (2019)
Yuan Yuan, Tracy Xiao Liu, Chenhao Tan, Qian Chen, Alex Pentland, Jie Tang
Identify and understand pay-it-forward reciprocity using millions of online red packets. CoRR (2019)
Jason Shuo Zhang, Chenhao Tan, Qin Lv
Intergroup Contact in the Wild: Characterizing Language Differences between Intergroup and Single-group Members in NBA-related Discussion Forums. CoRR (2019)
Vivian Lai, Jon Z. Cai, Chenhao Tan
Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification. CoRR (2019)

Chenhao Tan.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Chenhao Tan