[Google Scholar profile ]. (Google Scholar is usually more up-to-date and I manually check all the paper entries on Google Scholar.)
Recent Preprints
Zephaniah Roe, Jack Sanderson, Dang Nguyen, Julian Huang, Todd Nief, Aryan Shrivastava, Chenhao Tan , Ari Holtzman. Iterative Finetuning is Mostly Idempotent . Dang Nguyen, Harvey Yiyun Fu, Peter West, Ari Holtzman, Chenhao Tan . Moral Mazes in the Era of LLMs . Haokun Liu and Chenhao Tan . AI-Assisted Reviewing is Necessary for Avoiding the Review Death Spiral .Chenhao Tan and Haokun Liu . The Mirage of Autonomous AI Scientists .Haokun Liu , Sicong Huang, Jingyu Hu, Yangqiaoyu Zhou , and Chenhao Tan . HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation .Michael Cooper, Rohan Wadhawan, John Michael Giorgi, Chenhao Tan , Davis Liang. The Curious Language Model: Strategic Test-Time Information Acquisition . Cristina Garbacea and Chenhao Tan . HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation .Mourad Heddaya , Chenhao Tan , Rob Voigt , Qingcheng Zeng, and Alexander Zentefis . A Century of Inflation Narratives .Zhizhang Yuan, Fanqi Shen, Meng Li, Yuguo Yu, Chenhao Tan , and Yang Yang . BrainWave: A Brain Signal Foundation Model for Clinical Applications . 2026
Qirun Dai, Xiao Liu, Jiawei Zhang, Dylan Zhang, Hao Peng, and Chenhao Tan . Towards a Universal Causal Reasoner . NeurIPS 2026 (Spotlight). Nathan Delisle and Chenhao Tan . Bypassing PC1 Makes SAEs More Reproducible. NeurIPS 2026. Zekai Tong, Ruiyao Xu, Aryan Shrivastava, Chenhao Tan , and Ari Holtzman. The Text Uncanny Valley: Non-Monotonic Performance Degradation in LLM Information Retrieval. NeurIPS 2026 (Evaluation and Datasets Track). Xiao Liu, Junsol Kim, Shiyang Lai, Jacy Reese Anthis, Siyang Wu, Chenhao Tan , James Evans. Introspection Tools Help LLMs Understand and Control Themselves. NeurIPS 2026 (Position Papers Track). Sanjana Ramprasad, Pranav Mani, Chenhao Tan , Byron C Wallace, Elisa Ferracane. Many Benign Errors are Better than A Few Severe Ones: Evaluating Hallucination Severity. NeurIPS 2026 (Evaluation and Datasets Track). Mingxuan Li, Qirun Dai, Heran Wang, and Chenhao Tan . Emergent Misalignment Is Not Magical . EMNLP 2026. Andrew Ren, Haokun Liu, and Chenhao Tan . Robust Failure, Conservative Repair: Textual Knowledge Distillation from Cross-Model Failures . EMNLP 2026. Xiaoyan Bai , Alexander Baumgartner, Haojia Sun, Ari Holtzman, and Chenhao Tan . The Story is Not the Science: Execution-Grounded Evaluation of Mechanistic Interpretability Research . ICML 2026 AI4Science Workshop (Best Poster Award).Yuyang Jiang, Chacha Chen , Teng Wu, Liwen Sun, Han Liu , Shi Feng , Chenhao Tan . Collaborative Disagreement Resolution for Scalable Oversight . ICML 2026. Karen Zhou and Chenhao Tan . AutoChecklist: Composable Pipelines for Checklist Generation and Scoring with LLM-as-a-Judge . ACL Demo Track 2026. Mingxuan Li, Hanchen Li, and Chenhao Tan . HypoEval: Hypothesis-Guided Evaluation for Natural Language Generation . ACL 2026. Cristina Garbacea , Heran Wang, Chenhao Tan . Personalized Benchmarking: Evaluating LLMs by Individual Preferences . Findings of ACL 2026.Mourad Heddaya, Manley Roberts, Rohan Wadhawan, Chenhao Tan . When Internalization Fails: Finding Better Targets for Reasoning Compression. Findings of ACL 2026. Lan Gao, Abani Ahmed, Oscar Chen, Margaux Reyl, Zayna Cheema, Nick Feamster, Chenhao Tan , Kurt Thomas, Marshini Chetty. 2026. Governance of AI-Generated Content: A Case Study on Social Media Platforms . In CHI Conference on Human Factors in Computing Systems Proceedings (CHI’ 26) Aniket Vashishtha, Qirun Dai, Hongyuan Mei, Amit Sharma, Chenhao Tan , Hao Peng. Executable Counterfactuals: Improving LLMs’ Causal Reasoning Through Code . ICLR 2026. Xiao Liu, Haokun Liu, Chenhao Tan . Heuristic-Based Ideation for Guiding LLMs Toward Structured Creativity. ICLR 2026 (Blog Track). 2025
Ari Holtzman and Chenhao Tan . Prompting as Scientific Inquiry . NeurIPS 2025 (Position Papers Track). [Blog ] Xiaoyan Bai , Ike Peng, Aditya Singh, and Chenhao Tan . Concept Incongruence: An Exploration of Time and Death in Role Playing . NeurIPS 2025. [Blog ]Harvey Yiyun Fu, Aryan Shrivastava, Jared Moore, Peter West, Chenhao Tan , Ari Holtzman. AbsenceBench: Language Models Can’t Tell What’s Missing . NeurIPS 2025 (Spotlight in Datasets and Benchmarks). Ziyu Chen, Junfei Sun, Chenxi Li, Tuan Dung Nguyen, Jing Yao, Xiaoyuan Yi, Xing Xie, Chenhao Tan , and Lexing Xie . MoVa: Resources for Generalizable Classification of Human Morals and Values. EMNLP 2025. Karen Zhou , John Giorgi, Pranav Mani, Peng Xu, Davis Liang, and Chenhao Tan . From Feedback to Checklists: Grounded Evaluation of AI-Generated Clinical Notes . EMNLP 2025 (Industry Track).Yuyang Jiang, Chacha Chen , Shengyuan Wang, Feng Li, Zecong Tang, Benjamin M. Mervak, Lydia Chelala, Christopher M Straus, Reve Chahine, Samuel G. Armato III, and Chenhao Tan . CLEAR: A Clinically-Grounded Tabular Framework for Radiology Report Evaluation . Findings of EMNLP 2025. Chao-Chun Hsu , Ziad Obermeyer , and Chenhao Tan . A machine learning model using clinical notes to identify physician fatigue . Nature Communications 2025. arXiv version Dang Nguyen and Chenhao Tan . On the Effectiveness and Generalization of Race Representations for Debiasing High-Stakes Decisions . COLM 2025.Haokun Liu* , Yangqiaoyu Zhou* , Mingxuan Li*, Chenfei Yuan, and Chenhao Tan . Literature Meets Data: A Synergistic Approach to Hypothesis Generation . ACL 2025. \[Website\] Jacy Anthis, Kristian Lum, Michael Ekstrand, Avi Feller, and Chenhao Tan . The Impossibility of Fair LLMs . ACL 2025. Lan Gao, Oscar Chen, Rachel Lee, Nick Feamster, Chenhao Tan , Marshini Chetty. “I Cannot Write This Because It Violates Our Content Policy”: Understanding Content Moderation Policies and User Experiences in Generative AI Products . USENIX Security 2025. 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, and Chenhao Tan . Can Domain Experts Rely on AI Appropriately? A Case Study on AI-Assisted Prostate Cancer MRI Diagnosis . FAccT 2025.Mourad Heddaya , Kyle MacMillan, Anup Malani, Hongyuan Mei, and Chenhao Tan . CaseSumm: A Large-Scale Dataset for Long-Context Summarization from U.S. Supreme Court Opinions . Findings of NAACL 2025.Yuyang Jiang, Chacha Chen , Dang Nguyen , Benjamin M. Mervak, and Chenhao Tan . GPT-4V Cannot Generate Radiology Reports Yet . Findings of NAACL 2025. 2024
Yangqiaoyu Zhou , Haokun Liu , Tejes Srivastava, Hongyuan Mei , and Chenhao Tan . Hypothesis Generation with Large Language Models . NLP4Science Workshop at EMNLP 2024.Mourad Heddaya , Qingcheng Zeng, Chenhao Tan , Rob Voigt, and Alexander Zentefis. Causal Micro-Narratives . EMNLP 2024 Workshop on Narrative Understanding.Emre Kıcıman , Robert Ness , Amit Sharma , and Chenhao Tan . Causal Reasoning and Large Language Models: Opening a New Frontier for Causality . Transactions on Machine Learning Research (TMLR) 2024.Karen Zhou , Alexander A. Meitus, Milo Chase, Grace Wang, Anne Mykland, William Howell, and Chenhao Tan . Quantifying the uniqueness and divisiveness of presidential discourse . PNAS Nexus 2024.Tianyu Cao, Natraj Raman, Danial Dervovic, and Chenhao Tan . Characterizing Multimodal Long-form Summarization: A Case Study on Financial Reports . COLM 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 . Findings of ACL 2024.Zining Zhu, Hanjie Chen, Xi Ye, Chenhao Tan , Ana Marasović, Sarah Wiergreffe, Veronica Qing Lyu. Explanation in the Era of Large Language Models . NAACL Tutorial 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. C. Estelle Smith , Shamika Klassen, Gale H. Prinster, Chenhao Tan , and Brian C. Keegan . Governance of the Black Experience on Reddit: r/BlackPeopleTwitter as a Case Study in Supporting Sense of Virtual Community for Black Users . CSCW 2024. DEI Recognition Award (top 4% of papers) .Gale H. Prinster, C. Estelle Smith , Chenhao Tan , and Brian C. Keegan . Community Archetypes: An Empirical Framework for Guiding Research Methodologies to Reflect User Experiences of Sense of Virtual Community . CSCW 2024. Jiashuo Wang, Yang Xiao, Yanran Li, Changhe Song, Chunpu Xu, Chenhao Tan , and Wenjie Li. Towards a Client-Centered Assessment of LLM Therapists by Client Simulation . 2023
Dang Nguyen, Chacha Chen , He He , and Chenhao Tan . Pragmatic Radiology Report Generation . Machine Learning for Health (ML4H) 2023. Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Y. Zhang, Jun Zhou, Chenhao Tan , and Hongyuan Mei . Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning . NeurIPS 2023. Karen Zhou and Chenhao Tan . Entity-Based Evaluation of Political Bias in Automatic Summarization . Findings of EMNLP 2023 (Short Paper). Presented at TrustNLP at ACL 2023.Nan-Jiang Jiang , Chenhao Tan , and Marie-Catherine de Marneffe . Ecologically Valid Explanations for Label Variation in NLI . Findings of EMNLP 2023 (Short Paper).Vivian Lai , Yiming Zhang , Chacha Chen , Q. Vera Liao , and Chenhao Tan . Selective Explanations: Leveraging Human Input to Align Explainable AI . CSCW 2023.Raul Castro Fernandez , Aaron J. Elmore , Michael J. Franklin , Sanjay Krishnan , and Chenhao Tan . How large language models will disrupt data management . VLDB 2023.Chacha Chen , Shi Feng , Amit Sharma , and Chenhao Tan . Machine Explanations and Human Understanding . Accepted at Transactions on Machine Learning Research (TMLR); presented at FAccT 2023; Best Paper Award at the ICML 2022 Workshop on Human-Machine Collaboration and Teaming (workshop version ).Vivian Lai , Chacha Chen , Alison Smith-Renner , Q. Vera Liao , and Chenhao Tan . Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies . In Proceedings of FAccT 2023.Mourad Heddaya , Solomon Dworkin, Chenhao Tan , Rob Voigt , and Alexander Zentefis . Language of Bargaining . In Proceedings of ACL 2023.Yangqiaoyu Zhou , Yiming Zhang , and Chenhao Tan . FLamE: Few-shot Learning from Natural Language Explanations . In Proceedings of ACL 2023.Han Liu , Yizhou Tian , Chacha Chen , Shi Feng , Yuxin Chen , and Chenhao Tan . Learning Human-Compatible Representations for Case-Based Decision Support . In Proceedings of ICLR 2023.Yiming Zhang , Yangqiaoyu Zhou , Samuel Carton and Chenhao Tan . Learning to Ignore Adversarial Attacks . In Proceedings of EACL 2023.Yuan Yuan , Tracy Xiao Liu , Chenhao Tan , Qian Chen, Alex ‘Sandy’ Pentland , and Jie Tang . Gift Contagion in Online Groups: Evidence From Virtual Red Packets . Management Science. 2023.Xuan Yang, Yang Yang , Chenhao Tan , Yinghe Lin, Zhengzhe Fu, Fei Wu, and Yueting Zhuang. Unfolding and Modeling the Recovery Process after COVID Lockdowns . Scientific Reports. 2023. 2022
Jordan Boyd-Graber , Samuel Carton , Shi Feng , Q. Vera Liao , Tania Lombrozo , Alison Smith-Renner , Chenhao Tan . Human-Centered Evaluations of Explanations. NAACL Tutorial 2022.Han Liu , Yizhou Tian , Chacha Chen , Shi Feng , Yuxin Chen , Chenhao Tan . Towards Effective Case-Based Decision Support with Human-Compatible Representations . In Proceedings of the 1st ICML 2022 Workshop on Human-Machine Collaboration and Teaming.Yiming Zhang , Shi Feng , Chenhao Tan . Active Example Selection for In-Context Learning . EMNLP 2022.Abhinav Kumar, Chenhao Tan , Amit Sharma . Probing Classifiers are Unreliable for Concept Removal and Detection . NeurIPS 2022; also presented at the Spurious Correlations, Invariance, and Stability (SCIS) Workshop at ICML 2022. Vivian Lai , Samuel Carton , Rajat Bhatnagar, Q. Vera Liao , Yunfeng Zhang, and Chenhao Tan . Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation . CHI 2022.Samuel Carton , Surya Kanoria , and Chenhao Tan . What to Learn, and How: Toward Effective Learning from Rationales . Findings of ACL 2022.Chenhao Tan . On the Diversity and Limits of Human Explanations . NAACL 2022.Jamar L. Sullivan, Will Brackenbury , Andrew McNutt , Kevin Bryson , Kwam Byll, Yuxin Chen , Michael Littman , Chenhao Tan , Blase Ur . Explaining Why: How Instructions and User Interfaces Impact Annotator Rationales When Labeling Text Data . NAACL 2022. C. Estelle Smith , Irfanul Alam, Chenhao Tan , Brian C. Keegan , Anita Blanchard . The Impact of Governance Bots on Sense of Virtual Community: Development and Validation of the GOV-BOTs Scale . CSCW 2022.Himabindu Lakkaraju , Dylan Slack , Yuxin Chen , Chenhao Tan , and Sameer Singh . Rethinking Explainability as a Dialogue: A Practitioner’s Perspective . Preprint.2021
Chao-Chun Hsu and Chenhao Tan . Decision-focused Summarization . EMNLP 2021.Han Liu , Vivian Lai , and Chenhao Tan . Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making . CSCW 2021.Ramaravind Kommiya Mothilal , Divyat Mahajan , Chenhao Tan and Amit Sharma . Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End . In Proceedings of the Fourth AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES'2021); also presented at the Responsible AI Workshop at ICLR.Madhusudhan Aithal Mahabhaleshwara and Chenhao Tan . On Positivity Bias in Negative Reviews . In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) (Short Paper).Yangqiaoyu Zhou and Chenhao Tan . Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI . Workshop on Insights from Negative Results in NLP at EMNLP 2021.Jason Shuo Zhang , Qin Lv , Brian Keegan , and Chenhao Tan . Understanding the Diverging User Trajectories in Highly-related Online Communities during the COVID-19 Pandemic . In Proceedings of the 15th International Conference on Web and Social Media (ICWSM'2021).Isil Erel , Lea Stern , Chenhao Tan , Michael S. Weisbach . Selecting Directors Using Machine Learning . Review of Financial Studies. 2021.Abhijit Suresh, Jennifer Jacobs, Vivian Lai, Chenhao Tan , Wayne Ward, James H. Martin, Tamara Sumner. Using Transformers to Provide Teachers with Personalized Feedback on their Classroom Discourse: The TalkMoves Application . AAAI Spring Symposium Series 2021. Abhijit Suresh, Jennifer Jacobs, Charis Clevenger, Vivian Lai, Chenhao Tan , James H. Martin and Tamara Sumner. Using AI to promote equitable classroom instruction: The TalkMoves Application. In Proceedings of the 22nd International Conference on Artificial Intelligence in Education (AIED'2021) (Short Paper). 2020
Chao-Chun Hsu , Shantanu Karnwal, Sendhil Mullainathan , Ziad Obermeyer , and Chenhao Tan . Characterizing the Value of Information in Medical Notes . In Findings of EMNLP 2020.Samuel Carton , Anirudh Rathore , and Chenhao Tan . Evaluating and Characterizing Human Rationales . In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP'2020).Vivian Lai , Samuel Carton , and Chenhao Tan . Harnessing Explanations to Bridge AI and Humans . In Fair & Responsible AI Workshop, CHI 2020.Vivian Lai , Han Liu , and Chenhao Tan . “Why is ‘Chicago’ deceptive?”: Towards Building Model-Driven Tutorials for Humans . In Proceedings of the ACM CHI Conference on Human Factors in Computing Systems 2020 (CHI'2020).Ramaravind Kommiya Mothilal, Amit Sharma , and Chenhao Tan . Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations . In Proceedings of ACM FAT* Conference 2020. 2019
Brian Lubars and Chenhao Tan . Ask Not What AI Can Do, But What AI Should Do: Towards a Framework of Task Delegability . In Proceedings of Thirty-third Conference on Neural Information Processing Systems (NeurIPS'2019) (Spotlight Presentation).David Atkinson, Kumar Bhargav Srinivasan, and Chenhao Tan . What Gets Echoed? Understanding the ‘Pointers’ in Explanations of Persuasive Arguments . In Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP'2019). Vivian Lai , Jon Z. Cai , and Chenhao Tan . Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification . In Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP'2019).Kelvin Luu, Chenhao Tan , and Noah A. Smith . Measuring Online Debaters’ Persuasive Skill from Text over Time . Transactions of the Association for Computational Linguistics (TACL'2019). Jason Shuo Zhang , Chenhao Tan , and Qin Lv . Intergroup Contact in the Wild: Characterizing Language Differences between Intergroup and Single-group Members in NBA-related Discussion Forums . In Proceedings of the Conference on Computer-Supported Cooperative Work and Social Computing (CSCW'2019).Kumar Bhargav Srinivasan, Cristian Danescu-Niculescu-Mizil , Lillian Lee , and Chenhao Tan . Content Removal as a Moderation Strategy: Compliance and Other Outcomes in the ChangeMyView Community . In Proceedings of the Conference on Computer-Supported Cooperative Work and Social Computing (CSCW'2019). Vivian Lai and Chenhao Tan . On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection . In Proceedings of ACM FAT* Conference 2019.Xiaochuang Han , Eunsol Choi , and Chenhao Tan . No Permanent Friends or Enemies: Tracking Relationships Between Nations from News . In Proceedings of 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL'2019).Tiago Cunha , David Jurgens , Chenhao Tan and Daniel Romero . Are All Successful Communities Alike? Characterizing and Predicting the Success of Online Communities . In Proceedings of The Web Conference 2019 (WWW'2019).Ziqiang Cheng, Yang Yang , Chenhao Tan , Denny Cheng, Alex Cheng and Yueting Zhuang. What Makes a Good Team? A Large-scale Study on the Effect of Team Composition in Online Gaming . In Proceedings of The Web Conference 2019 (WWW'2019) (Short Paper). 2018
Jason Shuo Zhang , Chenhao Tan , and Qin Lv . “This is why we play”: Characterizing Online Fan Communities of the NBA Teams . In Proceedings of the Conference on Computer-Supported Cooperative Work and Social Computing (CSCW'2018).Tal August , Nigini Oliveira , Chenhao Tan , Noah A. Smith , and Katharina Reinecke . Framing Effect: The Choice of Slogans Used to Advertise Online Experiments Can Boost Recruitment and Lead to Sample Biases . In Proceedings of the Conference on Computer-Supported Cooperative Work and Social Computing (CSCW'2018).Dallas Card , Chenhao Tan , and Noah A. Smith . Neural Models for Documents with Metadata . In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL'2018).Nelson F. Liu , Omer Levy , Roy Schwartz , Chenhao Tan , and Noah A. Smith . LSTMs Exploit Linguistic Attributes of Data . In Proceedings of ACL 2018 RepL4NLP Workshop (Best Paper Award ).Chenhao Tan . Tracing Community Genealogy: How New Communities Emerge from the Old . In Proceedings of the 12th International AAAI Conference on Web and Social Media (ICWSM'18).Chenhao Tan , Hao Peng , and Noah A. Smith . “You are no Jack Kennedy”: On Media Selection of Highlights from Presidential Debates . In Proceedings of The Web Conference (WWW’2018).Yang Yang , Zongtao Liu, Chenhao Tan , Fei Wu, Yueting Zhuang and Yafeng Li. To Stay or to Leave: Churn Prediction for Urban Migrants in the Initial Period . In Proceedings of The Web Conference (WWW’2018).Isil Erel , Léa H. Stern , Chenhao Tan , and Michael S. Weisbach . Could Machine Learning Help Companies Select Better Board Directors? . Harvard Business Review. April, 2018.Elizabeth Clark , Anne Ross , Chenhao Tan , Yangfeng Ji , and Noah A. Smith . Creative Writing with a Machine in the Loop: Case Studies on Slogans and Stories . In Proceedings of the 23rd ACM Conference on Intelligent User Interfaces (IUI’2018).Yang Yang , Chenhao Tan , Zongtao Liu, Fei Wu, and Yueting Zhuang. Urban Dreams of Migrants: A Case Study of Migrant Integration in Shanghai . In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI'2018).2017
2016
Chenhao Tan . Computational approaches to understanding human behavior from online social interactions: Language and Communities . PhD thesis.Chenhao Tan , Lillian Lee . 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 . Presented in Text as Data 2016.Chenhao Tan , Vlad Niculae , Cristian Danescu-Niculescu-Mizil , Lillian Lee . Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions . In Proceedings of the 25th International World Wide Web Conference (WWW'2016).Isabel Kloumann, Chenhao Tan , Jon Kleinberg , Lillian Lee . Internet Collaboration on Extremely Difficult Problems: Research versus Olympiad Questions on the Polymath Site . In Proceedings of the 25th International World Wide Web Conference (WWW'2016). Chenhao Tan , Adrien Friggeri , Lada Adamic . Lost in propagation? Unfolding news cycles from the source . In Proceedings of the 10th International AAAI Conference on Web and Social Media (ICWSM'2016).Jack Hessel , Chenhao Tan , Lillian Lee . Science, AskScience, and BadScience: On the Coexistence of Highly Related Communities . In Proceedings of the 10th International AAAI Conference on Web and Social Media (ICWSM'2016).2015
2014
2013
2012
Chenhao Tan , Evgeniy Gabrilovich , Bo Pang . To Each His Own: Personalized Content Selection based on Text Comprehensibility . In Proceedings of the Fifth ACM International Conference on Web Search and Data Mining (WSDM'2012).Eunsol Choi , Chenhao Tan , Lillian Lee , Cristian Danescu-Niculescu-Mizil , Jennifer Spindel. Hedge detection as a lens on framing in the GMO debates: A position paper . In Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics.Wenbin Tang, Jie Tang , Tao Lei , Chenhao Tan , Bo Gao, Tian Li. On optimization of expertise matching with various constraints . Neurocomputing (January, 2012). 2011
Chenhao Tan , Lillian Lee , Jie Tang , Long Jiang, Ming Zhou , Ping Li . User-level sentiment analysis incorporating social networks . In Proceedings of the Sixteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD'2011) (poster, aggregate oral+poster acceptance rate: 17.5%).Shaomei Wu , Chenhao Tan , Jon Kleinberg , Michael Macy . Does Bad News Go Away Faster? . In Proceedings of Fifth International AAAI Conference on Weblogs and Social Media (ICWSM'2011) (Short Paper).Bin Lu, Chenhao Tan , Claire Cardie , Benjamin K. Tsou. Joint Bilingual Sentiment Classification with Unlabeled Parallel Corpora . In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics (ACL'2011). Fei Wang , Chenhao Tan , Arnd Christian Konig, Ping Li . Efficient Document Clustering via Online Nonnegative Matrix Factorizations . In Proceedings of the SIAM International Conference on Data Mining (SDM'2011).2010