Chenhao Tan

191 papers A* 24A 10C 1Journal 117Unranked 38
YearRankTypeTitle / Venue / Authors
2026 J jnl
AutoChecklist: Composable Pipelines for Checklist Generation and Scoring with LLM-as-a-Judge.
CoRR
Karen Zhou, Chenhao Tan
2026 J jnl
Email in the Era of LLMs.
CoRR
Dang Nguyen, Harvey Yiyun Fu, Peter West, Chenhao Tan, Ari Holtzman
2026 A* conf
Governance of AI-Generated Content: A Case Study on Social Media Platforms.
CHI
Lan Gao, Abani Ahmed, Oscar Chen, Margaux Reyl, Zayna Cheema, Nick Feamster, Chenhao Tan, Kurt Thomas, Marshini Chetty
2026 J jnl
Governance of AI-Generated Content: A Case Study on Social Media Platforms.
CoRR
Lan Gao, Abani Ahmed, Oscar Chen, Margaux Reyl, Zayna Cheema, Nick Feamster, Chenhao Tan, Kurt Thomas, Marshini Chetty
2026 J jnl
The Story is Not the Science: Execution-Grounded Evaluation of Mechanistic Interpretability Research.
CoRR
Xiaoyan Bai, Alexander Baumgartner, Haojia Sun, Ari Holtzman, Chenhao Tan
2025 A* conf
"I Cannot Write This Because It Violates Our Content Policy": Understanding Content Moderation Policies and User Experiences in Generative AI Products.
USENIX Security Symposium
Lan Gao, Oscar Chen, Rachel Lee, Nick Feamster, Chenhao Tan, Marshini Chetty
2025 J jnl
"I Cannot Write This Because It Violates Our Content Policy": Understanding Content Moderation Policies and User Experiences in Generative AI Products.
CoRR
Lan Gao, Oscar Chen, Rachel Lee, Nick Feamster, Chenhao Tan, Marshini Chetty
2025 J jnl
AbsenceBench: Language Models Can't Tell What's Missing.
CoRR
Harvey Yiyun Fu, Aryan Shrivastava, Jared Moore, Peter West, Chenhao Tan, Ari Holtzman
2025 — conf
CLEAR: A Clinically Grounded Tabular Framework for Radiology Report Evaluation.
EMNLP (Findings)
Yuyang Jiang, Chacha Chen, Shengyuan Wang, Feng Liu, Zecong Tang, Benjamin M. Mervak, Lydia Chelala, Christopher M. Straus, Reve Chahine, Samuel G. Armato III, Chenhao Tan
2025 J jnl
CLEAR: A Clinically-Grounded Tabular Framework for Radiology Report Evaluation.
CoRR
Yuyang Jiang, Chacha Chen, Shengyuan Wang, Feng Liu, Zecong Tang, Benjamin M. Mervak, Lydia Chelala, Christopher M. Straus, Reve Chahine, Samuel G. Armato III, Chenhao Tan
2025 J jnl
Can Domain Experts Rely on AI Appropriately? A Case Study on AI-Assisted Prostate Cancer MRI Diagnosis.
CoRR
Chacha Chen, Han Liu, Jiamin Yang, Benjamin M. Mervak, Bora Kalaycioglu, Grace Lee, Emre Cakmakli, Matteo Bonatti, Sridhar Pudu, Osman Kahraman, Gul Gizem Pamuk, Aytekin Oto, Aritrick Chatterjee, Chenhao Tan
2025 — conf
CaseSumm: A Large-Scale Dataset for Long-Context Summarization from U.S. Supreme Court Opinions.
NAACL (Findings)
Mourad Heddaya, Kyle MacMillan, Hongyuan Mei, Chenhao Tan, Anup Malani
2025 J jnl
CaseSumm: A Large-Scale Dataset for Long-Context Summarization from U.S. Supreme Court Opinions.
CoRR
Mourad Heddaya, Kyle MacMillan, Anup Malani, Hongyuan Mei, Chenhao Tan
2025 J jnl
Concept Incongruence: An Exploration of Time and Death in Role Playing.
CoRR
Xiaoyan Bai, Ike Peng, Aditya Singh, Chenhao Tan
2025 J jnl
Executable Counterfactuals: Improving LLMs' Causal Reasoning Through Code.
CoRR
Aniket Vashishtha, Qirun Dai, Hongyuan Mei, Amit Sharma, Chenhao Tan, Hao Peng
2025 — conf
From Feedback to Checklists: Grounded Evaluation of AI-Generated Clinical Notes.
EMNLP (Industry Track)
Karen Zhou, John Michael Giorgi, Pranav Mani, Peng Xu, Davis Liang, Chenhao Tan
2025 J jnl
From Feedback to Checklists: Grounded Evaluation of AI-Generated Clinical Notes.
CoRR
Karen Zhou, John M. Giorgi, Pranav Mani, Peng Xu, Davis Liang, Chenhao Tan
2025 — conf
GPT-4V Cannot Generate Radiology Reports Yet.
NAACL (Findings)
Yuyang Jiang, Chacha Chen, Dang Nguyen, Benjamin M. Mervak, Chenhao Tan
2025 — conf
Human-AI Interaction for Augmented Reasoning: Improving Human Reflective and Critical Thinking with Artificial Intelligence.
CHI Extended Abstracts
Valdemar Danry, Pat Pataranutaporn, Christopher Cui, Jui-Tse Hung, Lancelot Blanchard, Zana Buçinca, Chenhao Tan, Thad Starner, Pattie Maes
2025 J jnl
HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation.
CoRR
Cristina Garbacea, Chenhao Tan
2025 J jnl
HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation.
CoRR
Haokun Liu, Sicong Huang, Jingyu Hu, Yangqiaoyu Zhou, Chenhao Tan
2025 J jnl
HypoEval: Hypothesis-Guided Evaluation for Natural Language Generation.
CoRR
Mingxuan Li, Hanchen Li, Chenhao Tan
2025 J jnl
Know Thyself? On the Incapability and Implications of AI Self-Recognition.
CoRR
Xiaoyan Bai, Aryan Shrivastava, Ari Holtzman, Chenhao Tan
2025 — conf
Literature Meets Data: A Synergistic Approach to Hypothesis Generation.
ACL (1)
Haokun Liu, Yangqiaoyu Zhou, Mingxuan Li, Chenfei Yuan, Chenhao Tan
2025 A* conf
MoVa: Towards Generalizable Classification of Human Morals and Values.
EMNLP
Ziyu Chen, Junfei Sun, Chenxi Li, Tuan Dung Nguyen, Jing Yao, Xiaoyuan Yi, Xing Xie, Chenhao Tan, Lexing Xie
2025 J jnl
MoVa: Towards Generalizable Classification of Human Morals and Values.
CoRR
Ziyu Chen, Junfei Sun, Chenxi Li, Tuan Dung Nguyen, Jing Yao, Xiaoyuan Yi, Xing Xie, Chenhao Tan, Lexing Xie
2025 J jnl
On the Effectiveness and Generalization of Race Representations for Debiasing High-Stakes Decisions.
CoRR
Dang Nguyen, Chenhao Tan
2025 J jnl
Prompting as Scientific Inquiry.
CoRR
Ari Holtzman, Chenhao Tan
2025 J jnl
The Curious Language Model: Strategic Test-Time Information Acquisition.
CoRR
Michael Cooper, Rohan Wadhawan, John Michael Giorgi, Chenhao Tan, Davis Liang
2025 — conf
The Impossibility of Fair LLMs.
ACL (1)
Jacy Reese Anthis, Kristian Lum, Michael D. Ekstrand, Avi Feller, Chenhao Tan
2025 J jnl
Why Can't Transformers Learn Multiplication? Reverse-Engineering Reveals Long-Range Dependency Pitfalls.
CoRR
Xiaoyan Bai, Itamar Pres, Yuntian Deng, Chenhao Tan, Stuart M. Shieber, Fernanda B. Viégas, Martin Wattenberg, Andrew Lee
2024 A* conf
"Community Guidelines Make this the Best Party on the Internet": An In-Depth Study of Online Platforms' Content Moderation Policies.
CHI
Brennan Schaffner, Arjun Nitin Bhagoji, Siyuan Cheng, Jacqueline Mei, Jay L. Shen, Grace Wang, Marshini Chetty, Nick Feamster, Genevieve Lakier, Chenhao Tan
2024 J jnl
"Community Guidelines Make this the Best Party on the Internet": An In-Depth Study of Online Platforms' Content Moderation Policies.
CoRR
Brennan Schaffner, Arjun Nitin Bhagoji, Siyuan Cheng, Jacqueline Mei, Jay L. Shen, Grace Wang, Marshini Chetty, Nick Feamster, Genevieve Lakier, Chenhao Tan
2024 — conf
CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support.
ACL (Findings)
Chao-Chun Hsu, Erin Bransom, Jenna Sparks, Bailey Kuehl, Chenhao Tan, David Wadden, Lucy Lu Wang, Aakanksha Naik
2024 J jnl
CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support.
CoRR
Chao-Chun Hsu, Erin Bransom, Jenna Sparks, Bailey Kuehl, Chenhao Tan, David Wadden, Lucy Lu Wang, Aakanksha Naik
2024 J jnl
Causal Micro-Narratives.
CoRR
Mourad Heddaya, Qingcheng Zeng, Chenhao Tan, Rob Voigt, Alexander Zentefis
2024 J jnl
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality.
Trans. Mach. Learn. Res.
Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan
2024 J jnl
Characterizing Multimodal Long-form Summarization: A Case Study on Financial Reports.
CoRR
Tianyu Cao, Natraj Raman, Danial Dervovic, Chenhao Tan
2024 J jnl
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.
Gale H. Prinster, C. Estelle Smith, Chenhao Tan, Brian C. Keegan
2024 J jnl
GPT-4V Cannot Generate Radiology Reports Yet.
CoRR
Yuyang Jiang, Chacha Chen, Dang Nguyen, Benjamin M. Mervak, Chenhao Tan
2024 J jnl
Gift Contagion in Online Groups: Evidence from Virtual Red Packets.
Manag. Sci.
Yuan Yuan, Tracy Xiao Liu, Chenhao Tan, Qian Chen, Alex 'Sandy' Pentland, Jie Tang
2024 J jnl
Governance of the Black Experience on Reddit: r/BlackPeopleTwitter as a Case Study in Supporting Sense of Virtual Community for Black Users.
Proc. ACM Hum. Comput. Interact.
C. Estelle Smith, Shamika Klassen, Gale H. Prinster, Chenhao Tan, Brian C. Keegan
2024 J jnl
Hypothesis Generation with Large Language Models.
CoRR
Yangqiaoyu Zhou, Haokun Liu, Tejes Srivastava, Hongyuan Mei, Chenhao Tan
2024 J jnl
Literature Meets Data: A Synergistic Approach to Hypothesis Generation.
CoRR
Haokun Liu, Yangqiaoyu Zhou, Mingxuan Li, Chenfei Yuan, Chenhao Tan
2024 J jnl
OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning.
CoRR
Jiaqi Ma, Vivian Lai, Yiming Zhang, Chacha Chen, Paul Hamilton, Davor Ljubenkov, Himabindu Lakkaraju, Chenhao Tan
2024 J jnl
Quantifying the Uniqueness of Donald Trump in Presidential Discourse.
CoRR
Karen Zhou, Alexander A. Meitus, Milo Chase, Grace Wang, Anne Mykland, William Howell, Chenhao Tan
2024 A* conf
The First Workshop on AI Behavioral Science.
KDD
Himabindu Lakkaraju, Qiaozhu Mei, Chenhao Tan, Jie Tang, Yutong Xie
2024 J jnl
The Impossibility of Fair LLMs.
CoRR
Jacy Reese Anthis, Kristian Lum, Michael D. Ekstrand, Avi Feller, Alexander D'Amour, Chenhao Tan
2024 J jnl
Towards a Client-Centered Assessment of LLM Therapists by Client Simulation.
CoRR
Jiashuo Wang, Yang Xiao, Yanran Li, Changhe Song, Chunpu Xu, Chenhao Tan, Wenjie Li
2023 — conf
1
WACV (Workshops)
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, Ziqiang Zheng, 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
2023 J jnl
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality.
CoRR
Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan
2023 J jnl
Characterizing Political Bias in Automatic Summaries: A Case Study of Trump and Biden.
CoRR
Karen Zhou, Chenhao Tan
2023 J jnl
Clinical Notes Reveal Physician Fatigue.
CoRR
Chao-Chun Hsu, Ziad Obermeyer, Chenhao Tan
2023 J jnl
Community Archetypes: An Empirical Framework for Guiding Research Methodologies to Reflect User Experiences of Sense of Virtual Community.
CoRR
Gale H. Prinster, C. Estelle Smith, Chenhao Tan, Brian C. Keegan
2023 — conf
Ecologically Valid Explanations for Label Variation in NLI.
EMNLP (Findings)
Nan-Jiang Jiang, Chenhao Tan, Marie-Catherine de Marneffe
2023 J jnl
Ecologically Valid Explanations for Label Variation in NLI.
CoRR
Nan-Jiang Jiang, Chenhao Tan, Marie-Catherine de Marneffe
2023 — conf
Entity-Based Evaluation of Political Bias in Automatic Summarization.
EMNLP (Findings)
Karen Zhou, Chenhao Tan
2023 — conf
FLamE: Few-shot Learning from Natural Language Explanations.
ACL (1)
Yangqiaoyu Zhou, Yiming Zhang, Chenhao Tan
2023 J jnl
FLamE: Few-shot Learning from Natural Language Explanations.
CoRR
Yangqiaoyu Zhou, Yiming Zhang, Chenhao Tan
2023 J jnl
How Large Language Models Will Disrupt Data Management.
Proc. VLDB Endow.
Raul Castro Fernandez, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan, Chenhao Tan
2023 A* conf
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning.
NeurIPS
Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Y. Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei
2023 J jnl
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning.
CoRR
Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Y. Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei
2023 — conf
Language of Bargaining.
ACL (1)
Mourad Heddaya, Solomon Dworkin, Chenhao Tan, Rob Voigt, Alexander Zentefis
2023 J jnl
Language of Bargaining.
CoRR
Mourad Heddaya, Solomon Dworkin, Chenhao Tan, Rob Voigt, Alexander Zentefis
2023 A* conf
Learning Human-Compatible Representations for Case-Based Decision Support.
ICLR
Han Liu, Yizhou Tian, Chacha Chen, Shi Feng, Yuxin Chen, Chenhao Tan
2023 J jnl
Learning Human-Compatible Representations for Case-Based Decision Support.
CoRR
Han Liu, Yizhou Tian, Chacha Chen, Shi Feng, Yuxin Chen, Chenhao Tan
2023 A conf
Learning to Ignore Adversarial Attacks.
EACL
Yiming Zhang, Yangqiaoyu Zhou, Samuel Carton, Chenhao Tan
2023 — conf
Machine Explanations and Human Understanding.
FAccT
Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan
2023 J jnl
Machine Explanations and Human Understanding.
Trans. Mach. Learn. Res.
Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan
2023 — conf
Pragmatic Radiology Report Generation.
ML4H@NeurIPS
Dang Nguyen, Chacha Chen, He He, Chenhao Tan
2023 J jnl
Pragmatic Radiology Report Generation.
CoRR
Dang Nguyen, Chacha Chen, He He, Chenhao Tan
2023 J jnl
Selective Explanations: Leveraging Human Input to Align Explainable AI.
CoRR
Vivian Lai, Yiming Zhang, Chacha Chen, Q. Vera Liao, Chenhao Tan
2023 J jnl
Selective Explanations: Leveraging Human Input to Align Explainable AI.
Proc. ACM Hum. Comput. Interact.
Vivian Lai, Yiming Zhang, Chacha Chen, Q. Vera Liao, Chenhao Tan
2023 — conf
Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-Subject Studies.
FAccT
Vivian Lai, Chacha Chen, Alison Smith-Renner, Q. Vera Liao, Chenhao Tan
2023 J jnl
Understanding and Predicting Human Label Variation in Natural Language Inference through Explanation.
CoRR
Nan-Jiang Jiang, Chenhao Tan, Marie-Catherine de Marneffe
2022 J jnl
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results.
CoRR
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, Ziqiang Zheng, 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
2022 A* conf
Active Example Selection for In-Context Learning.
EMNLP
Yiming Zhang, Shi Feng, Chenhao Tan
2022 J jnl
Active Example Selection for In-Context Learning.
CoRR
Yiming Zhang, Shi Feng, Chenhao Tan
2022 — conf
Explaining Why: How Instructions and User Interfaces Impact Annotator Rationales When Labeling Text Data.
NAACL-HLT
Jamar L. Sullivan Jr., William Brackenbury, Andrew McNut, Kevin Bryson, Kwam Byll, Yuxin Chen, Michael L. Littman, Chenhao Tan, Blase Ur
2022 A* conf
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation.
CHI
Vivian Lai, Samuel Carton, Rajat Bhatnagar, Q. Vera Liao, Yunfeng Zhang, Chenhao Tan
2022 J jnl
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation.
CoRR
Vivian Lai, Samuel Carton, Rajat Bhatnagar, Q. Vera Liao, Yunfeng Zhang, Chenhao Tan
2022 J jnl
Inferring Brain State Dynamics Underlying Naturalistic Stimuli Evoked Emotion Changes With dHA-HMM.
Neuroinformatics
Chenhao Tan, Xin Liu, Gaoyan Zhang
2022 J jnl
Learning to Ignore Adversarial Attacks.
CoRR
Yiming Zhang, Yangqiaoyu Zhou, Samuel Carton, Chenhao Tan
2022 J jnl
Machine Explanations and Human Understanding.
CoRR
Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan
2022 — conf
On the Diversity and Limits of Human Explanations.
NAACL-HLT
Chenhao Tan
2022 A* conf
Probing Classifiers are Unreliable for Concept Removal and Detection.
NeurIPS
Abhinav Kumar, Chenhao Tan, Amit Sharma
2022 J jnl
Probing Classifiers are Unreliable for Concept Removal and Detection.
CoRR
Abhinav Kumar, Chenhao Tan, Amit Sharma
2022 — conf
Responsible Language Technologies: Foreseeing and Mitigating Harms.
CHI Extended Abstracts
Su Lin Blodgett, Q. Vera Liao, Alexandra Olteanu, Rada Mihalcea, Michael J. Muller, Morgan Klaus Scheuerman, Chenhao Tan, Qian Yang
2022 J jnl
Rethinking Explainability as a Dialogue: A Practitioner's Perspective.
CoRR
Himabindu Lakkaraju, Dylan Slack, Yuxin Chen, Chenhao Tan, Sameer Singh
2022 J jnl
The Impact of Governance Bots on Sense of Virtual Community: Development and Validation of the GOV-BOTs Scale.
Proc. ACM Hum. Comput. Interact.
C. Estelle Smith, Irfanul Alam, Chenhao Tan, Brian C. Keegan, Anita L. Blanchard
2022 — conf
What to Learn, and How: Toward Effective Learning from Rationales.
ACL (Findings)
Samuel Carton, Surya Kanoria, Chenhao Tan
2021 — conf
Decision-Focused Summarization.
EMNLP (1)
Chao-Chun Hsu, Chenhao Tan
2021 J jnl
Decision-Focused Summarization.
CoRR
Chao-Chun Hsu, Chenhao Tan
2021 J jnl
Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI.
CoRR
Yangqiaoyu Zhou, Chenhao Tan
2021 — conf
On Positivity Bias in Negative Reviews.
ACL/IJCNLP (2)
Madhusudhan Aithal, Chenhao Tan
2021 J jnl
On Positivity Bias in Negative Reviews.
CoRR
Madhusudhan Aithal, Chenhao Tan
2021 J jnl
On the Diversity and Limits of Human Explanations.
CoRR
Chenhao Tan
2021 C conf
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End.
AIES
Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma
2021 J jnl
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies.
CoRR
Vivian Lai, Chacha Chen, Q. Vera Liao, Alison Smith-Renner, Chenhao Tan
2021 A conf
Understanding the Diverging User Trajectories in Highly-related Online Communities during the COVID-19 Pandemic.
ICWSM
Jason Shuo Zhang, Brian Keegan, Qin Lv, Chenhao Tan
2021 J jnl
Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making.
CoRR
Han Liu, Vivian Lai, Chenhao Tan
2021 J jnl
Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making.
Proc. ACM Hum. Comput. Interact.
Han Liu, Vivian Lai, Chenhao Tan
2021 — conf
Using AI to Promote Equitable Classroom Discussions: The TalkMoves Application.
AIED (2)
Abhijit Suresh, Jennifer Jacobs, Charis Clevenger, Vivian Lai, Chenhao Tan, James H. Martin, Tamara Sumner
2021 J jnl
Using Transformers to Provide Teachers with Personalized Feedback on their Classroom Discourse: The TalkMoves Application.
CoRR
Abhijit Suresh, Jennifer Jacobs, Vivian Lai, Chenhao Tan, Wayne H. Ward, James H. Martin, Tamara Sumner
2021 J jnl
What to Learn, and How: Toward Effective Learning from Rationales.
CoRR
Samuel Carton, Surya Kanoria, Chenhao Tan
2020 A* conf
"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans.
CHI
Vivian Lai, Han Liu, Chenhao Tan
2020 J jnl
"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans.
CoRR
Vivian Lai, Han Liu, Chenhao Tan
2020 J jnl
A Quantitative Portrait of Wikipedia's High-Tempo Collaborations during the 2020 Coronavirus Pandemic.
CoRR
Brian C. Keegan, Chenhao Tan
2020 J jnl
A Tale of Two Communities: Characterizing Reddit Response to COVID-19 through /r/China_Flu and /r/Coronavirus.
CoRR
Jason Shuo Zhang, Brian C. Keegan, Qin Lv, Chenhao Tan
2020 — conf
Characterizing the Value of Information in Medical Notes.
EMNLP (Findings)
Chao-Chun Hsu, Shantanu Karnwal, Sendhil Mullainathan, Ziad Obermeyer, Chenhao Tan
2020 J jnl
Characterizing the Value of Information in Medical Notes.
CoRR
Chao-Chun Hsu, Shantanu Karnwal, Sendhil Mullainathan, Ziad Obermeyer, Chenhao Tan
2020 — conf
Evaluating and Characterizing Human Rationales.
EMNLP (1)
Samuel Carton, Anirudh Rathore, Chenhao Tan
2020 J jnl
Evaluating and Characterizing Human Rationales.
CoRR
Samuel Carton, Anirudh Rathore, Chenhao Tan
2020 — conf
Explaining machine learning classifiers through diverse counterfactual explanations.
FAT*
Ramaravind Kommiya Mothilal, Amit Sharma, Chenhao Tan
2020 J jnl
Harnessing Explanations to Bridge AI and Humans.
CoRR
Vivian Lai, Samuel Carton, Chenhao Tan
2020 J jnl
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End.
CoRR
Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma
2019 J jnl
An evolving recurrent interval type-2 intuitionistic fuzzy neural network for online learning and time series prediction.
Appl. Soft Comput.
Chao Luo, Chenhao Tan, Xingyuan Wang, Yuanjie Zheng
2019 A* conf
Are All Successful Communities Alike? Characterizing and Predicting the Success of Online Communities.
WWW
Tiago Cunha, David Jurgens, Chenhao Tan, Daniel M. Romero
2019 J jnl
Are All Successful Communities Alike? Characterizing and Predicting the Success of Online Communities.
CoRR
Tiago Cunha, David Jurgens, Chenhao Tan, Daniel M. Romero
2019 J jnl
Ask Not What AI Can Do, But What AI Should Do: Towards a Framework of Task Delegability.
CoRR
Brian Lubars, Chenhao Tan
2019 A* conf
Ask not what AI can do, but what AI should do: Towards a framework of task delegability.
NeurIPS
Brian Lubars, Chenhao Tan
2019 J jnl
Content Removal as a Moderation Strategy: Compliance and Other Outcomes in the ChangeMyView Community.
CoRR
Kumar Bhargav Srinivasan, Cristian Danescu-Niculescu-Mizil, Lillian Lee, Chenhao Tan
2019 J jnl
Content Removal as a Moderation Strategy: Compliance and Other Outcomes in the ChangeMyView Community.
Proc. ACM Hum. Comput. Interact.
Kumar Bhargav Srinivasan, Cristian Danescu-Niculescu-Mizil, Lillian Lee, Chenhao Tan
2019 J jnl
Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations.
CoRR
Ramaravind Kommiya Mothilal, Amit Sharma, Chenhao Tan
2019 J jnl
Identify and understand pay-it-forward reciprocity using millions of online red packets.
CoRR
Yuan Yuan, Tracy Xiao Liu, Chenhao Tan, Qian Chen, Alex Pentland, Jie Tang
2019 J jnl
Intergroup Contact in the Wild: Characterizing Language Differences between Intergroup and Single-group Members in NBA-related Discussion Forums.
CoRR
Jason Shuo Zhang, Chenhao Tan, Qin Lv
2019 J jnl
Intergroup Contact in the Wild: Characterizing Language Differences between Intergroup and Single-group Members in NBA-related Discussion Forums.
Proc. ACM Hum. Comput. Interact.
Jason Shuo Zhang, Chenhao Tan, Qin Lv
2019 J jnl
Learning Fair Representations via an Adversarial Framework.
CoRR
Rui Feng, Yang Yang, Yuehan Lyu, Chenhao Tan, Yizhou Sun, Chunping Wang
2019 J jnl
Long-term prediction of time series based on stepwise linear division algorithm and time-variant zonary fuzzy information granules.
Int. J. Approx. Reason.
Chao Luo, Chenhao Tan, Yuanjie Zheng
2019 — conf
Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification.
EMNLP/IJCNLP (1)
Vivian Lai, Zheng Cai, Chenhao Tan
2019 J jnl
Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification.
CoRR
Vivian Lai, Jon Z. Cai, Chenhao Tan
2019 J jnl
Measuring Online Debaters' Persuasive Skill from Text over Time.
Trans. Assoc. Comput. Linguistics
Kelvin Luu, Chenhao Tan, Noah A. Smith
2019 — conf
No Permanent Friends or Enemies: Tracking Relationships between Nations from News.
NAACL-HLT (1)
Xiaochuang Han, Eunsol Choi, Chenhao Tan
2019 J jnl
No Permanent Friends or Enemies: Tracking Relationships between Nations from News.
CoRR
Xiaochuang Han, Eunsol Choi, Chenhao Tan
2019 — conf
On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection.
FAT
Vivian Lai, Chenhao Tan
2019 J jnl
Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers.
CoRR
Divyat Mahajan, Chenhao Tan, Amit Sharma
2019 — conf
What Gets Echoed? Understanding the "Pointers" in Explanations of Persuasive Arguments.
EMNLP/IJCNLP (1)
David Atkinson, Kumar Bhargav Srinivasan, Chenhao Tan
2019 J jnl
What Gets Echoed? Understanding the "Pointers" in Explanations of Persuasive Arguments.
CoRR
David Atkinson, Kumar Bhargav Srinivasan, Chenhao Tan
2019 A* conf
What Makes a Good Team? A Large-scale Study on the Effect of Team Composition in Honor of Kings.
WWW
Ziqiang Cheng, Yang Yang, Chenhao Tan, Denny Cheng, Alex Cheng, Yueting Zhuang
2019 J jnl
What Makes a Good Team? A Large-scale Study on the Effect of Team Composition in Honor of Kings.
CoRR
Ziqiang Cheng, Yang Yang, Chenhao Tan, Denny Cheng, Yueting Zhuang, Alex Cheng
2018 J jnl
"This is why we play": Characterizing Online Fan Communities of the NBA Teams.
CoRR
Jason Shuo Zhang, Chenhao Tan, Qin Lv
2018 J jnl
"This is why we play": Characterizing Online Fan Communities of the NBA Teams.
Proc. ACM Hum. Comput. Interact.
Jason Shuo Zhang, Chenhao Tan, Qin Lv
2018 A* conf
"You are no Jack Kennedy": On Media Selection of Highlights from Presidential Debates.
WWW
Chenhao Tan, Hao Peng, Noah A. Smith
2018 J jnl
"You are no Jack Kennedy": On Media Selection of Highlights from Presidential Debates.
CoRR
Chenhao Tan, Hao Peng, Noah A. Smith
2018 A conf
Creative Writing with a Machine in the Loop: Case Studies on Slogans and Stories.
IUI
Elizabeth Clark, Anne Spencer Ross, Chenhao Tan, Yangfeng Ji, Noah A. Smith
2018 J jnl
Framing Effects: Choice of Slogans Used to Advertise Online Experiments Can Boost Recruitment and Lead to Sample Biases.
Proc. ACM Hum. Comput. Interact.
Tal August, Nigini Oliveira, Chenhao Tan, Noah A. Smith, Katharina Reinecke
2018 — conf
LSTMs Exploit Linguistic Attributes of Data.
Rep4NLP@ACL
Nelson F. Liu, Omer Levy, Roy Schwartz, Chenhao Tan, Noah A. Smith
2018 J jnl
LSTMs Exploit Linguistic Attributes of Data.
CoRR
Nelson F. Liu, Omer Levy, Roy Schwartz, Chenhao Tan, Noah A. Smith
2018 — conf
Neural Models for Documents with Metadata.
ACL (1)
Dallas Card, Chenhao Tan, Noah A. Smith
2018 J jnl
On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection.
CoRR
Vivian Lai, Chenhao Tan
2018 J jnl
Reports of the Workshops Held at the 2018 International AAAI Conference on Web and Social Media.
AI Mag.
Jisun An, Rumi Chunara, David J. Crandall, Darian Frajberg, Megan French, Bernard J. Jansen, Juhi Kulshrestha, Yelena Mejova, Daniel M. Romero, Joni Salminen, Amit Sharma, Amit P. Sheth, Chenhao Tan, Samuel Hardman Taylor, Sanjaya Wijeratne
2018 A* conf
To Stay or to Leave: Churn Prediction for Urban Migrants in the Initial Period.
WWW
Yang Yang, Zongtao Liu, Chenhao Tan, Fei Wu, Yueting Zhuang, Yafeng Li
2018 J jnl
To Stay or to Leave: Churn Prediction for Urban Migrants in the Initial Period.
CoRR
Yang Yang, Zongtao Liu, Chenhao Tan, Fei Wu, Yueting Zhuang, Yafeng Li
2018 A conf
Tracing Community Genealogy: How New Communities Emerge from the Old.
ICWSM
Chenhao Tan
2018 J jnl
Tracing Community Genealogy: How New Communities Emerge from the Old.
CoRR
Chenhao Tan
2018 A* conf
Urban Dreams of Migrants: A Case Study of Migrant Integration in Shanghai.
AAAI
Yang Yang, Chenhao Tan, Zongtao Liu, Fei Wu, Yueting Zhuang
2017 J jnl
A Neural Framework for Generalized Topic Models.
CoRR
Dallas Card, Chenhao Tan, Noah A. Smith
2017 A* conf
Dynamic Entity Representations in Neural Language Models.
EMNLP
Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi, Noah A. Smith
2017 J jnl
Dynamic Entity Representations in Neural Language Models.
CoRR
Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi, Noah A. Smith
2017 — conf
Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts.
ACL (1)
Chenhao Tan, Dallas Card, Noah A. Smith
2017 J jnl
Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in Texts.
CoRR
Chenhao Tan, Dallas Card, Noah A. Smith
2017 J jnl
Online Red Packets: A Large-scale Empirical Study of Gift Giving on WeChat.
CoRR
Yuan Yuan, Tracy Xiao Liu, Chenhao Tan, Jie Tang
2016 — —
Computational Approaches to Understanding Human Behavior from Online Social Interactions: Language and Communities.
Chenhao Tan
2016 A* conf
Internet Collaboration on Extremely Difficult Problems: Research versus Olympiad Questions on the Polymath Site.
WWW
Isabel Mette Kloumann, Chenhao Tan, Jon M. Kleinberg, Lillian Lee
2016 A conf
Lost in Propagation? Unfolding News Cycles from the Source.
ICWSM
Chenhao Tan, Adrien Friggeri, Lada A. Adamic
2016 A conf
Science, AskScience, and BadScience: On the Coexistence of Highly Related Communities.
ICWSM
Jack Hessel, Chenhao Tan, Lillian Lee
2016 J jnl
Science, AskScience, and BadScience: On the Coexistence of Highly Related Communities.
CoRR
Jack Hessel, Chenhao Tan, Lillian Lee
2016 J jnl
Talk it up or play it down? (Un)expected correlations between (de-)emphasis and recurrence of discussion points in consequential U.S. economic policy meetings.
CoRR
Chenhao Tan, Lillian Lee
2016 A* conf
Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions.
WWW
Chenhao Tan, Vlad Niculae, Cristian Danescu-Niculescu-Mizil, Lillian Lee
2016 J jnl
Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions.
CoRR
Chenhao Tan, Vlad Niculae, Cristian Danescu-Niculescu-Mizil, Lillian Lee
2015 A* conf
All Who Wander: On the Prevalence and Characteristics of Multi-community Engagement.
WWW
Chenhao Tan, Lillian Lee
2015 J jnl
All Who Wander: On the Prevalence and Characteristics of Multi-community Engagement.
CoRR
Chenhao Tan, Lillian Lee
2014 — conf
A Corpus of Sentence-level Revisions in Academic Writing: A Step towards Understanding Statement Strength in Communication.
ACL (2)
Chenhao Tan, Lillian Lee
2014 J jnl
A Corpus of Sentence-level Revisions in Academic Writing: A Step towards Understanding Statement Strength in Communication.
CoRR
Chenhao Tan, Lillian Lee
2014 — conf
The effect of wording on message propagation: Topic- and author-controlled natural experiments on Twitter.
ACL (1)
Chenhao Tan, Lillian Lee, Bo Pang
2014 J jnl
The effect of wording on message propagation: Topic- and author-controlled natural experiments on Twitter.
CoRR
Chenhao Tan, Lillian Lee, Bo Pang
2013 A conf
Instant foodie: predicting expert ratings from grassroots.
CIKM
Chenhao Tan, Ed H. Chi, David A. Huffaker, Gueorgi Kossinets, Alexander J. Smola
2013 A conf
On the Interplay between Social and Topical Structure.
ICWSM
Daniel M. Romero, Chenhao Tan, Johan Ugander
2013 J jnl
Query-dependent cross-domain ranking in heterogeneous network.
Knowl. Inf. Syst.
Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Chenhao Tan, Zi Yang
2012 — conf
Hedge Detection as a Lens on Framing in the GMO Debates: A Position Paper.
ExProM@ACL
Eunsol Choi, Chenhao Tan, Lillian Lee, Cristian Danescu-Niculescu-Mizil, Jennifer Spindel
2012 J jnl
Hedge detection as a lens on framing in the GMO debates: A position paper
CoRR
Eunsol Choi, Chenhao Tan, Lillian Lee, Cristian Danescu-Niculescu-Mizil, Jennifer Spindel
2012 J jnl
On optimization of expertise matching with various constraints.
Neurocomputing
Wenbin Tang, Jie Tang, Tao Lei, Chenhao Tan, Bo Gao, Tian Li
2012 A conf
To each his own: personalized content selection based on text comprehensibility.
WSDM
Chenhao Tan, Evgeniy Gabrilovich, Bo Pang
2011 A conf
Does Bad News Go Away Faster?
ICWSM
Shaomei Wu, Chenhao Tan, Jon M. Kleinberg, Michael W. Macy
2011 A* conf
Joint Bilingual Sentiment Classification with Unlabeled Parallel Corpora.
ACL
Bin Lu, Chenhao Tan, Claire Cardie, Benjamin K. Tsou
2011 J jnl
Social-Topical Affiliations: The Interplay between Structure and Popularity
CoRR
Daniel M. Romero, Chenhao Tan, Johan Ugander
2011 J jnl
User-level sentiment analysis incorporating social networks
CoRR
Chenhao Tan, Lillian Lee, Jie Tang, Long Jiang, Ming Zhou, Ping Li
2011 A* conf
User-level sentiment analysis incorporating social networks.
KDD
Chenhao Tan, Lillian Lee, Jie Tang, Long Jiang, Ming Zhou, Ping Li
2010 — conf
Expertise Matching via Constraint-Based Optimization.
Web Intelligence
Wenbin Tang, Jie Tang, Chenhao Tan
2010 A* conf
Social action tracking via noise tolerant time-varying factor graphs.
KDD
Chenhao Tan, Jie Tang, Jimeng Sun, Quan Lin, Fengjiao Wang
2009 — conf
THU-IMG at TRECVID 2009.
TRECVID
Yingyu Liang, Binbin Cao, Jianmin Li, Chenguang Zhu, Yongchao Zhang, Chenhao Tan, Ge Chen, Chen Sun, Jinhui Yuan, Mingxing Xu, Bo Zhang