Tongshuang Wu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 86

Top Topics

Interactive Storytelling

Visual Analytics

Natural Language

Top Venues

IEEE Trans. Vis. Comput. Graph.

Publications

Yichen Pan, Dehan Kong, Sida Zhou, Cheng Cui, Yifei Leng, Bing Jiang, Hangyu Liu, Yanyi Shang, Shuyan Zhou, Tongshuang Wu, Zhengyang Wu
WebCanvas: Benchmarking Web Agents in Online Environments. CoRR (2024)
Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Tongshuang Wu
Beyond Relevance: Evaluate and Improve Retrievers on Perspective Awareness. CoRR (2024)
Michael Xieyang Liu, Tongshuang Wu, Tianying Chen, Franklin Mingzhe Li, Aniket Kittur, Brad A. Myers
Selenite: Scaffolding Online Sensemaking with Comprehensive Overviews Elicited from Large Language Models. CHI (2024)
Saumya Gandhi, Ritu Gala, Vijay Viswanathan, Tongshuang Wu, Graham Neubig
Better Synthetic Data by Retrieving and Transforming Existing Datasets. CoRR (2024)
Shijie Xia, Xuefeng Li, Yixin Liu, Tongshuang Wu, Pengfei Liu
Evaluating Mathematical Reasoning Beyond Accuracy. CoRR (2024)
Xinran Zhao, Hongming Zhang, Xiaoman Pan, Wenlin Yao, Dong Yu, Tongshuang Wu, Jianshu Chen
Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models. ACL (Findings) (2024)
Tzu-Sheng Kuo, Aaron Halfaker, Zirui Cheng, Jiwoo Kim, Meng-Hsin Wu, Tongshuang Wu, Kenneth Holstein, Haiyi Zhu
Wikibench: Community-Driven Data Curation for AI Evaluation on Wikipedia. CoRR (2024)
Xinran Zhao, Hongming Zhang, Xiaoman Pan, Wenlin Yao, Dong Yu, Tongshuang Wu, Jianshu Chen
Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models. CoRR (2024)
Saumya Gandhi, Ritu Gala, Vijay Viswanathan, Tongshuang Wu, Graham Neubig
Better Synthetic Data by Retrieving and Transforming Existing Datasets. ACL (Findings) (2024)
Chenglei Si, Navita Goyal, Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daumé III, Jordan L. Boyd-Graber
Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong. NAACL-HLT (2024)
Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, Tongshuang Wu, Graham Neubig
Large Language Models Enable Few-Shot Clustering. Trans. Assoc. Comput. Linguistics 12 (2024)
Chenyang Zhao, Xueying Jia, Vijay Viswanathan, Tongshuang Wu, Graham Neubig
SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic Finetuning. CoRR (2024)
Ian Wu, Sravan Jayanthi, Vijay Viswanathan, Simon Rosenberg, Sina Pakazad, Tongshuang Wu, Graham Neubig
Synthetic Multimodal Question Generation. CoRR (2024)
Tzu-Sheng Kuo, Aaron Lee Halfaker, Zirui Cheng, Jiwoo Kim, Meng-Hsin Wu, Tongshuang Wu, Kenneth Holstein, Haiyi Zhu
Wikibench: Community-Driven Data Curation for AI Evaluation on Wikipedia. CHI (2024)
Zahra Ashktorab, Gagan Bansal, Zana Buçinca, Kenneth Holstein, Jessica Hullman, Alison Marie Smith-Renner, Tongshuang Wu, Wenjuan Zhang
Trust and Reliance in Evolving Human-AI Workflows (TREW). CHI Extended Abstracts (2024)
Yiming Zhang, Sravani Nanduri, Liwei Jiang, Tongshuang Wu, Maarten Sap
BiasX: "Thinking Slow" in Toxic Content Moderation with Explanations of Implied Social Biases. EMNLP (2023)
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
LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs. CoRR (2023)
Jeremiah Milbauer, Ziqi Ding, Zhijin Wu, Tongshuang Wu
From Nuisance to News Sense: Augmenting the News with Cross-Document Evidence and Context. CoRR (2023)
Vijay Viswanathan, Chenyang Zhao, Amanda Bertsch, Tongshuang Wu, Graham Neubig
Prompt2Model: Generating Deployable Models from Natural Language Instructions. CoRR (2023)
Tongshuang Wu, Hua Shen, Daniel S. Weld, Jeffrey Heer, Marco Túlio Ribeiro
ScatterShot: Interactive In-context Example Curation for Text Transformation. CoRR (2023)
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
Tool Learning with Foundation Models. CoRR (2023)
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
The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI. CoRR (2023)
Hua Shen, Chieh-Yang Huang, Tongshuang Wu, Ting-Hao Kenneth Huang
ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing. CoRR (2023)
Yiming Zhang, Sravani Nanduri, Liwei Jiang, Tongshuang Wu, Maarten Sap
BiasX: "Thinking Slow" in Toxic Content Moderation with Explanations of Implied Social Biases. CoRR (2023)
Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, Tongshuang Wu, Graham Neubig
Large Language Models Enable Few-Shot Clustering. CoRR (2023)
Chenyang Yang, Rishabh Rustogi, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner, Tongshuang Wu
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs. CoRR (2023)
Chenyang Yang, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner, Tongshuang Wu
Capabilities for Better ML Engineering. SafeAI@AAAI (2023)
Vijay Viswanathan, Luyu Gao, Tongshuang Wu, Pengfei Liu, Graham Neubig
DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions. ACL (1) (2023)
Qianou Ma, Tongshuang Wu, Kenneth R. Koedinger
Is AI the better programming partner? Human-Human Pair Programming vs. Human-AI pAIr Programming. CoRR (2023)
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
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation. CoRR (2023)
Chenyang Yang, Rishabh Rustogi, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner, Tongshuang Wu
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs. EMNLP (Findings) (2023)
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
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation. Trans. Assoc. Comput. Linguistics 11 (2023)
Logan Stapleton, Jordan Taylor, Sarah Fox, Tongshuang Wu, Haiyi Zhu
Seeing Seeds Beyond Weeds: Green Teaming Generative AI for Beneficial Uses. CoRR (2023)
Chinmay Kulkarni, Tongshuang Wu, Kenneth Holstein, Q. Vera Liao, Min Kyung Lee, Mina Lee, Hariharan Subramonyam
LLMs and the Infrastructure of CSCW. CSCW Companion (2023)
Vijay Viswanathan, Chenyang Zhao, Amanda Bertsch, Tongshuang Wu, Graham Neubig
Prompt2Model: Generating Deployable Models from Natural Language Instructions. EMNLP (Demos) (2023)
Qianou Ma, Hua Shen, Kenneth R. Koedinger, Tongshuang Wu
HypoCompass: Large-Language-Model-based Tutor for Hypothesis Construction in Debugging for Novices. CoRR (2023)
Hua Shen, Chieh-Yang Huang, Tongshuang Wu, Ting-Hao Kenneth Huang
ConvXAI : Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing. CSCW Companion (2023)
Jeremiah Milbauer, Ziqi Ding, Zhijin Wu, Tongshuang Wu
NewsSense: Reference-free Verification via Cross-document Comparison. EMNLP (Demos) (2023)
Vijay Viswanathan, Luyu Gao, Tongshuang Wu, Pengfei Liu, Graham Neubig
DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions. CoRR (2023)
Hua Shen, Tongshuang Wu
Parachute: Evaluating Interactive Human-LM Co-writing Systems. CoRR (2023)
Hyeonsu B. Kang, Tongshuang Wu, Joseph Chee Chang, Aniket Kittur
Synergi: A Mixed-Initiative System for Scholarly Synthesis and Sensemaking. UIST (2023)
Yun Wang, Zhitao Hou, Leixian Shen, Tongshuang Wu, Jiaqi Wang, He Huang, Haidong Zhang, Dongmei Zhang
Towards Natural Language-Based Visualization Authoring. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
Michael Xieyang Liu, Tongshuang Wu, Tianying Chen, Franklin Mingzhe Li, Aniket Kittur, Brad A. Myers
Selenite: Scaffolding Decision Making with Comprehensive Overviews Elicited from Large Language Models. CoRR (2023)
Yuanchen Bai, Raoyi Huang, Vijay Viswanathan, Tzu-Sheng Kuo, Tongshuang Wu
Measuring Adversarial Datasets. CoRR (2023)
Hua Shen, Tongshuang Wu, Wenbo Guo, Ting-Hao Kenneth Huang
Are Shortest Rationales the Best Explanations for Human Understanding? CoRR (2022)
Ying Xu, Dakuo Wang, Mo Yu, Daniel Ritchie, Bingsheng Yao, Tongshuang Wu, Zheng Zhang, Toby Jia-Jun Li, Nora Bradford, Branda Sun, Tran Hoang, Yisi Sang, Yufang Hou, Xiaojuan Ma, Diyi Yang, Nanyun Peng, Zhou Yu, Mark Warschauer
Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension. ACL (1) (2022)
Xiaoran Wu, Zihan Yan, Chongjie Zhang, Tongshuang Wu
Decisions that Explain Themselves: A User-Centric Deep Reinforcement Learning Explanation System. CoRR (2022)
Hua Shen, Tongshuang Wu, Wenbo Guo, Ting-Hao Kenneth Huang
Are Shortest Rationales the Best Explanations for Human Understanding? ACL (2) (2022)
Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, Toby Jia-Jun Li
StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement. CHI (2022)
Gagan Bansal, Alison Marie Smith-Renner, Zana Buçinca, Tongshuang Wu, Kenneth Holstein, Jessica Hullman, Simone Stumpf
Workshop on Trust and Reliance in AI-Human Teams (TRAIT). CHI Extended Abstracts (2022)
Xingbo Wang, Yao Ming, Tongshuang Wu, Haipeng Zeng, Yong Wang, Huamin Qu
DeHumor: Visual Analytics for Decomposing Humor. IEEE Trans. Vis. Comput. Graph. 28 (12) (2022)
Chenyang Yang, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner, Tongshuang Wu
Capabilities for Better ML Engineering. CoRR (2022)
Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner
Tailor: Generating and Perturbing Text with Semantic Controls. ACL (1) (2022)
Yun Wang, Zhitao Hou, Leixian Shen, Tongshuang Wu, Jiaqi Wang, He Huang, Haidong Zhang, Dongmei Zhang
Towards Natural Language-Based Visualization Authoring. CoRR (2022)
Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, Toby Jia-Jun Li
StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement. CoRR (2022)
Tongshuang Wu, Ellen Jiang, Aaron Donsbach, Jeff Gray, Alejandra Molina, Michael Terry, Carrie J. Cai
PromptChainer: Chaining Large Language Model Prompts through Visual Programming. CHI Extended Abstracts (2022)
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
Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension. CoRR (2022)
Tongshuang Wu, Michael Terry, Carrie Jun Cai
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts. CHI (2022)
Jiao Sun, Tongshuang Wu, Yue Jiang, Ronil Awalegaonkar, Xi Victoria Lin, Diyi Yang
Pretty Princess vs. Successful Leader: Gender Roles in Greeting Card Messages. CHI (2022)
Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Zheng Zhang, Toby Jia-Jun Li, Mo Yu, Ying Xu
It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books. ACL (1) (2022)
Tongshuang Wu, Ellen Jiang, Aaron Donsbach, Jeff Gray, Alejandra Molina, Michael Terry, Carrie J. Cai
PromptChainer: Chaining Large Language Model Prompts through Visual Programming. CoRR (2022)
Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models. ACL/IJCNLP (1) (2021)
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.
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. CoRR (2021)
Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner
Tailor: Generating and Perturbing Text with Semantic Controls. CoRR (2021)
Xingbo Wang, Yao Ming, Tongshuang Wu, Haipeng Zeng, Yong Wang, Huamin Qu
DeHumor: Visual Analytics for Decomposing Humor. CoRR (2021)
Jiao Sun, Tongshuang Wu, Yue Jiang, Ronil Awalegaonkar, Xi Victoria Lin, Diyi Yang
Pretty Princess vs. Successful Leader: Gender Roles in Greeting Card Messages. CoRR (2021)
Tongshuang Wu, Michael Terry, Carrie J. Cai
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts. CoRR (2021)
Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Tran Hoang, Branda Sun, Toby Jia-Jun Li, Mo Yu, Ying Xu
It is AI's Turn to Ask Human a Question: Question and Answer Pair Generation for Children Storybooks in FairytaleQA Dataset. CoRR (2021)
Tongshuang Wu
Principles and Interactive Tools for Evaluating and Improving the Behavior of Natural Language Processing models. CHI Extended Abstracts (2021)
Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld
Polyjuice: Automated, General-purpose Counterfactual Generation. CoRR (2021)
Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh
Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract). IJCAI (2021)
Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Túlio Ribeiro, Daniel S. Weld
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance. CHI (2021)
Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh
Beyond Accuracy: Behavioral Testing of NLP models with CheckList. CoRR (2020)
Zhihang Dong, Tongshuang Wu, Sicheng Song, Mingrui Zhang
Interactive Attention Model Explorer for Natural Language Processing Tasks with Unbalanced Data Sizes. PacificVis (2020)
Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh
Beyond Accuracy: Behavioral Testing of NLP Models with CheckList. ACL (2020)
Alison Smith-Renner, Ron Fan, Melissa Birchfield, Tongshuang Wu, Jordan L. Boyd-Graber, Daniel S. Weld, Leah Findlater
No Explainability without Accountability: An Empirical Study of Explanations and Feedback in Interactive ML. CHI (2020)
Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Túlio Ribeiro, Daniel S. Weld
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance. CoRR (2020)
Tongshuang Wu, Kanit Wongsuphasawat, Donghao Ren, Kayur Patel, Chris DuBois
Tempura: Query Analysis with Structural Templates. CHI (2020)
Yang Shi, Maoran Xu, Rongwen Zhao, Hao Fu, Tongshuang Wu, Nan Cao
Interactive Context-Aware Anomaly Detection Guided by User Feedback. IEEE Trans. Hum. Mach. Syst. 49 (6) (2019)
Tongshuang Wu, Daniel S. Weld, Jeffrey Heer
Local Decision Pitfalls in Interactive Machine Learning: An Investigation into Feature Selection in Sentiment Analysis. ACM Trans. Comput. Hum. Interact. 26 (4) (2019)
Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld
Errudite: Scalable, Reproducible, and Testable Error Analysis. ACL (1) (2019)
John Akers, Gagan Bansal, Gabriel Cadamuro, Christine Chen, Quanze Chen, Lucy Lin, Phoebe Mulcaire, Rajalakshmi Nandakumar, Matthew Rockett, Lucy Simko, John Toman, Tongshuang Wu, Eric Zeng, Bill Zorn, Franziska Roesner
Technology-Enabled Disinformation: Summary, Lessons, and Recommendations. CoRR (2018)
Qiaomu Shen, Tongshuang Wu, Haiyan Yang, Yanhong Wu, Huamin Qu, Weiwei Cui
NameClarifier: A Visual Analytics System for Author Name Disambiguation. IEEE Trans. Vis. Comput. Graph. 23 (1) (2017)
Tongshuang Wu, Yuan Yao, Yuqing Duan, Xinzhi Fan, Huamin Qu
NetworkSeer: Visual analysis for social network in MOOCs. PacificVis (2016)
Tongshuang Wu, Yingcai Wu, Conglei Shi, Huamin Qu, Weiwei Cui
PieceStack: Toward Better Understanding of Stacked Graphs. IEEE Trans. Vis. Comput. Graph. 22 (6) (2016)
Yun Wang, Tongshuang Wu, Zhutian Chen, Qiong Luo, Huamin Qu
STAC: Enhancing stacked graphs for time series analysis. PacificVis (2016)