Sherry Tongshuang Wu

According to our database, Sherry Tongshuang Wu authored at least 60 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models.

Xinran Zhao, Hongming Zhang, Xiaoman Pan, Wenlin Yao, Dong Yu, Tongshuang Wu, Jianshu Chen

CoRR, 2024

Wikibench: Community-Driven Data Curation for AI Evaluation on Wikipedia.

Tzu-Sheng Kuo, Aaron Halfaker, Zirui Cheng, Jiwoo Kim, Meng-Hsin Wu, Tongshuang Wu, Kenneth Holstein, Haiyi Zhu

CoRR, 2024

2023

Towards Natural Language-Based Visualization Authoring.

Yun Wang, Zhitao Hou, Leixian Shen, Tongshuang Wu, Jiaqi Wang, He Huang, Haidong Zhang, Dongmei Zhang

IEEE Trans. Vis. Comput. Graph., 2023

Do LLMs exhibit human-like response biases? A case study in survey design.

Lindia Tjuatja, Valerie Chen, Sherry Tongshuang Wu, Ameet Talwalkar, Graham Neubig

CoRR, 2023

Measuring Adversarial Datasets.

Yuanchen Bai, Raoyi Huang, Vijay Viswanathan, Tzu-Sheng Kuo, Tongshuang Wu

CoRR, 2023

The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI.

Shayne Longpre, Robert Mahari, Anthony Chen, Naana Obeng-Marnu, Damien Sileo, William Brannon, Niklas Muennighoff, Nathan Khazam, Jad Kabbara, Kartik Perisetla, Xinyi Wu, Enrico Shippole, Kurt D. Bollacker, Tongshuang Wu, Luis Villa, Sandy Pentland, Deb Roy, Sara Hooker

CoRR, 2023

Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong.

Chenglei Si, Navita Goyal, Sherry Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daumé III, Jordan L. Boyd-Graber

CoRR, 2023

HypoCompass: Large-Language-Model-based Tutor for Hypothesis Construction in Debugging for Novices.

Qianou Ma, Hua Shen, Kenneth R. Koedinger, Tongshuang Wu

CoRR, 2023

From Nuisance to News Sense: Augmenting the News with Cross-Document Evidence and Context.

Jeremiah Milbauer, Ziqi Ding, Zhijin Wu, Tongshuang Wu

CoRR, 2023

Selenite: Scaffolding Decision Making with Comprehensive Overviews Elicited from Large Language Models.

Michael Xieyang Liu, Tongshuang Wu, Tianying Chen, Franklin Mingzhe Li, Aniket Kittur, Brad A. Myers

CoRR, 2023

"Merge Conflicts!" Exploring the Impacts of External Distractors to Parametric Knowledge Graphs.

Cheng Qian, Xinran Zhao, Sherry Tongshuang Wu

CoRR, 2023

LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs.

Tongshuang Wu, Haiyi Zhu, Maya Albayrak, Alexis Axon, Amanda Bertsch, Wenxing Deng, Ziqi Ding, Bill Guo, Sireesh Gururaja, Tzu-Sheng Kuo, Jenny T. Liang, Ryan Liu, Ihita Mandal, Jeremiah Milbauer, Xiaolin Ni, Namrata Padmanabhan, Subhashini Ramkumar, Alexis Sudjianto, Jordan Taylor, Ying-Jui Tseng, Patricia Vaidos, Zhijin Wu, Wei Wu, Chenyang Yang

CoRR, 2023

Large Language Models Enable Few-Shot Clustering.

Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, Tongshuang Wu, Graham Neubig

CoRR, 2023

Seeing Seeds Beyond Weeds: Green Teaming Generative AI for Beneficial Uses.

Logan Stapleton, Jordan Taylor, Sarah E. Fox, Tongshuang Wu, Haiyi Zhu

CoRR, 2023

Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation.

Patrick Fernandes, Aman Madaan, Emmy Liu, António Farinhas, Pedro Henrique Martins, Amanda Bertsch, José G. C. de Souza, Shuyan Zhou, Tongshuang Wu, Graham Neubig, André F. T. Martins

CoRR, 2023

Tool Learning with Foundation Models.

Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Yufei Huang, Chaojun Xiao, Chi Han, Yi Ren Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Zhiyuan Liu, Maosong Sun

CoRR, 2023

Parachute: Evaluating Interactive Human-LM Co-writing Systems.

Hua Shen, Tongshuang Wu

CoRR, 2023

Synergi: A Mixed-Initiative System for Scholarly Synthesis and Sensemaking.

Hyeonsu B. Kang, Tongshuang Wu, Joseph Chee Chang, Aniket Kittur

Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 2023

ScatterShot: Interactive In-context Example Curation for Text Transformation.

Sherry Wu, Hua Shen, Daniel S. Weld, Jeffrey Heer, Marco Túlio Ribeiro

Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

BiasX: "Thinking Slow" in Toxic Content Moderation with Explanations of Implied Social Biases.

Yiming Zhang, Sravani Nanduri, Liwei Jiang, Tongshuang Wu, Maarten Sap

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Prompt2Model: Generating Deployable Models from Natural Language Instructions.

Vijay Viswanathan, Chenyang Zhao, Amanda Bertsch, Tongshuang Wu, Graham Neubig

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

NewsSense: Reference-free Verification via Cross-document Comparison.

Jeremiah Milbauer, Ziqi Ding, Zhijin Wu, Tongshuang Wu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs.

Chenyang Yang, Rishabh Rustogi, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner, Tongshuang Wu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ConvXAI : Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing.

Hua Shen, Chieh-Yang Huang, Tongshuang Wu, Ting-Hao Kenneth Huang

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

LLMs and the Infrastructure of CSCW.

Chinmay Kulkarni, Tongshuang Wu, Kenneth Holstein, Q. Vera Liao, Min Kyung Lee, Mina Lee, Hariharan Subramonyam

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

Is AI the better programming partner? Human-Human Pair Programming vs. Human-AI pAIr Programming.

Qianou Christina Ma, Sherry Tongshuang Wu, Ken Koedinger

Proceedings of the Workshop on Empowering Education with LLMs, 2023

DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions.

Vijay Viswanathan, Luyu Gao, Tongshuang Wu, Pengfei Liu, Graham Neubig

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Capabilities for Better ML Engineering.

Chenyang Yang, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner, Tongshuang Wu

Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023

2022

Interactive AI Model Debugging and Correction

Tongshuang Wu

PhD thesis, 2022

DeHumor: Visual Analytics for Decomposing Humor.

Xingbo Wang, Yao Ming, Tongshuang Wu, Haipeng Zeng, Yong Wang, Huamin Qu

IEEE Trans. Vis. Comput. Graph., 2022

Decisions that Explain Themselves: A User-Centric Deep Reinforcement Learning Explanation System.

Xiaoran Wu, Zihan Yan, Chongjie Zhang, Tongshuang Wu

CoRR, 2022

StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement.

Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, Toby Jia-Jun Li

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts.

Tongshuang Wu, Michael Terry, Carrie Jun Cai

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

PromptChainer: Chaining Large Language Model Prompts through Visual Programming.

Tongshuang Wu, Ellen Jiang, Aaron Donsbach, Jeff Gray, Alejandra Molina, Michael Terry, Carrie J. Cai

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Pretty Princess vs. Successful Leader: Gender Roles in Greeting Card Messages.

Jiao Sun, Tongshuang Wu, Yue Jiang, Ronil Awalegaonkar, Xi Victoria Lin, Diyi Yang

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Workshop on Trust and Reliance in AI-Human Teams (TRAIT).

Gagan Bansal, Alison Marie Smith-Renner, Zana Buçinca, Tongshuang Wu, Kenneth Holstein, Jessica Hullman, Simone Stumpf

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books.

Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Zheng Zhang, Toby Jia-Jun Li, Mo Yu, Ying Xu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension.

Ying Xu, Dakuo Wang, Mo Yu, Daniel Ritchie, Bingsheng Yao, Tongshuang Wu, Zheng Zhang, Toby Jia-Jun Li, Nora Bradford, Branda Sun, Tran Bao Hoang, Yisi Sang, Yufang Hou, Xiaojuan Ma, Diyi Yang, Nanyun Peng, Zhou Yu, Mark Warschauer

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Are Shortest Rationales the Best Explanations for Human Understanding?

Hua Shen, Tongshuang Wu, Wenbo Guo, Ting-Hao Kenneth Huang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Tailor: Generating and Perturbing Text with Semantic Controls.

Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation.

Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Rishabh Gupta, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, et al.

CoRR, 2021

It is AI's Turn to Ask Human a Question: Question and Answer Pair Generation for Children Storybooks in FairytaleQA Dataset.

Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Tran Bao Hoang, Branda Sun, Toby Jia-Jun Li, Mo Yu, Ying Xu

CoRR, 2021

Polyjuice: Automated, General-purpose Counterfactual Generation.

Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld

CoRR, 2021

Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract).

Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Principles and Interactive Tools for Evaluating and Improving the Behavior of Natural Language Processing models.

Tongshuang Wu

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance.

Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Túlio Ribeiro, Daniel S. Weld

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models.

Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Tempura: Query Analysis with Structural Templates.

Tongshuang Wu, Kanit Wongsuphasawat, Donghao Ren, Kayur Patel, Chris DuBois

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

No Explainability without Accountability: An Empirical Study of Explanations and Feedback in Interactive ML.

Alison Smith-Renner, Ron Fan, Melissa Birchfield, Tongshuang Wu, Jordan L. Boyd-Graber, Daniel S. Weld, Leah Findlater

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

Interactive Attention Model Explorer for Natural Language Processing Tasks with Unbalanced Data Sizes.

Zhihang Dong, Tongshuang Wu, Sicheng Song, Mingrui Zhang

Proceedings of the 2020 IEEE Pacific Visualization Symposium, 2020

Beyond Accuracy: Behavioral Testing of NLP Models with CheckList.

Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Local Decision Pitfalls in Interactive Machine Learning: An Investigation into Feature Selection in Sentiment Analysis.

Tongshuang Wu, Daniel S. Weld, Jeffrey Heer

ACM Trans. Comput. Hum. Interact., 2019

Interactive Context-Aware Anomaly Detection Guided by User Feedback.

Yang Shi, Maoran Xu, Rongwen Zhao, Hao Fu, Tongshuang Wu, Nan Cao

IEEE Trans. Hum. Mach. Syst., 2019

Errudite: Scalable, Reproducible, and Testable Error Analysis.

Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Technology-Enabled Disinformation: Summary, Lessons, and Recommendations.

John Akers, Gagan Bansal, Gabriel Cadamuro, Christine Chen, Quanze Chen, Lucy H. Lin, Phoebe Mulcaire, Rajalakshmi Nandakumar, Matthew Rockett, Lucy Simko, John Toman, Tongshuang Wu, Eric Zeng, Bill Zorn, Franziska Roesner

CoRR, 2018

2017

NameClarifier: A Visual Analytics System for Author Name Disambiguation.

Qiaomu Shen, Tongshuang Wu, Haiyan Yang, Yanhong Wu, Huamin Qu, Weiwei Cui

IEEE Trans. Vis. Comput. Graph., 2017

2016

PieceStack: Toward Better Understanding of Stacked Graphs.

Tongshuang Wu, Yingcai Wu, Conglei Shi, Huamin Qu, Weiwei Cui

IEEE Trans. Vis. Comput. Graph., 2016

NetworkSeer: Visual analysis for social network in MOOCs.

Tongshuang Wu, Yuan Yao, Yuqing Duan, Xinzhi Fan, Huamin Qu

Proceedings of the 2016 IEEE Pacific Visualization Symposium, 2016

STAC: Enhancing stacked graphs for time series analysis.

Yun Wang, Tongshuang Wu, Zhutian Chen, Qiong Luo, Huamin Qu

Proceedings of the 2016 IEEE Pacific Visualization Symposium, 2016

2015

mycoCLAP, the database for characterized lignocellulose-active proteins of fungal origin: resource and text mining curation support.

Kimchi Strasser, Erin McDonnell, Carol Nyaga, Min Wu, Sherry Wu, Hayda Almeida, Marie-Jean Meurs, Leila Kosseim, Justin Powlowski, Gregory Butler, Adrian Tsang

Database J. Biol. Databases Curation, 2015