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ORCIDSherry Tongshuang Wu
Tongshuang Wu – Sherry Wu
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- affiliation: Carnegie Mellon University, PA, USA
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2020 – today
- 2024
[j10]Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, Tongshuang Wu, Graham Neubig:
Large Language Models Enable Few-Shot Clustering. Trans. Assoc. Comput. Linguistics 12: 321-333 (2024)- [j9]Lindia Tjuatja, Valerie Chen, Tongshuang Wu, Ameet Talwalkwar, Graham Neubig:
Do LLMs Exhibit Human-like Response Biases? A Case Study in Survey Design. Trans. Assoc. Comput. Linguistics 12: 1011-1026 (2024) - [c40]Saumya Gandhi, Ritu Gala, Vijay Viswanathan, Tongshuang Wu, Graham Neubig:
Better Synthetic Data by Retrieving and Transforming Existing Datasets. ACL (Findings) 2024: 6453-6466 - [c39]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: 8702-8718 - [c38]Atharva Naik, Jessica Ruhan Yin, Anusha Kamath, Qianou Ma, Sherry Tongshuang Wu, R. Charles Murray, Christopher Bogart, Majd Sakr, Carolyn P. Rosé
:
Generating Situated Reflection Triggers About Alternative Solution Paths: A Case Study of Generative AI for Computer-Supported Collaborative Learning. AIED (1) 2024: 46-59 - [c37]Qianou Ma, Hua Shen, Kenneth R. Koedinger, Sherry Tongshuang Wu:
How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging. AIED (1) 2024: 265-279 - [c36]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: 193:1-193:24 - [c35]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: 496:1-496:6 - [c34]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: 837:1-837:26 - [c33]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: 1459-1474 - [i50]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 abs/2402.14147 (2024) - [i49]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 abs/2402.17124 (2024) - [i48]Shijie Xia, Xuefeng Li, Yixin Liu, Tongshuang Wu, Pengfei Liu:
Evaluating Mathematical Reasoning Beyond Accuracy. CoRR abs/2404.05692 (2024) - [i47]Saumya Gandhi, Ritu Gala, Vijay Viswanathan, Tongshuang Wu, Graham Neubig:
Better Synthetic Data by Retrieving and Transforming Existing Datasets. CoRR abs/2404.14361 (2024) - [i46]Atharva Naik, Jessica Ruhan Yin, Anusha Kamath, Qianou Ma, Sherry Tongshuang Wu, R. Charles Murray, Christopher Bogart, Majd F. Sakr, Carolyn P. Rosé:
Generating Situated Reflection Triggers about Alternative Solution Paths: A Case Study of Generative AI for Computer-Supported Collaborative Learning. CoRR abs/2404.18262 (2024) - [i45]Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Tongshuang Wu:
Beyond Relevance: Evaluate and Improve Retrievers on Perspective Awareness. CoRR abs/2405.02714 (2024) - [i44]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 abs/2406.12373 (2024) - [i43]Ian Wu, Sravan Jayanthi, Vijay Viswanathan, Simon Rosenberg, Sina Pakazad, Tongshuang Wu, Graham Neubig:
Synthetic Multimodal Question Generation. CoRR abs/2407.02233 (2024) - [i42]Chenyang Zhao, Xueying Jia, Vijay Viswanathan, Tongshuang Wu, Graham Neubig:
SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic Finetuning. CoRR abs/2407.12874 (2024) - [i41]Qianou Ma, Weirui Peng, Hua Shen, Kenneth R. Koedinger, Tongshuang Wu:
What You Say = What You Want? Teaching Humans to Articulate Requirements for LLMs. CoRR abs/2409.08775 (2024) - [i40]Chenyang Yang, Yining Hong, Grace A. Lewis, Tongshuang Wu, Christian Kästner:
What Is Wrong with My Model? Identifying Systematic Problems with Semantic Data Slicing. CoRR abs/2409.09261 (2024) - 2023
- [j8]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: 1643-1668 (2023) - [j7]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): 1222-1232 (2023) - [c32]Chenyang Yang, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner, Tongshuang Wu:
Capabilities for Better ML Engineering. SafeAI@AAAI 2023 - [c31]Vijay Viswanathan, Luyu Gao, Tongshuang Wu, Pengfei Liu, Graham Neubig:
DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions. ACL (1) 2023: 10288-10303 - [c30]Qianou Christina Ma, Sherry Tongshuang Wu, Ken Koedinger:
Is AI the better programming partner? Human-Human Pair Programming vs. Human-AI pAIr Programming. LLM@AIED 2023: 64-77 - [c29]Gagan Bansal, Zana Buçinca, Kenneth Holstein, Jessica Hullman, Alison Marie Smith-Renner, Simone Stumpf, Sherry Wu:
Workshop on Trust and Reliance in AI-Human Teams (TRAIT). CHI Extended Abstracts 2023: 371:1-371:6 - [c28]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: 384-387 - [c27]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: 408-410 - [c26]Vijay Viswanathan, Chenyang Zhao, Amanda Bertsch, Tongshuang Wu, Graham Neubig:
Prompt2Model: Generating Deployable Models from Natural Language Instructions. EMNLP (Demos) 2023: 413-421 - [c25]Jeremiah Milbauer, Ziqi Ding, Zhijin Wu, Tongshuang Wu:
NewsSense: Reference-free Verification via Cross-document Comparison. EMNLP (Demos) 2023: 422-430 - [c24]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: 4920-4932 - [c23]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: 13504-13519 - [c22]Sherry Wu, Hua Shen, Daniel S. Weld, Jeffrey Heer, Marco Túlio Ribeiro:
ScatterShot: Interactive In-context Example Curation for Text Transformation. IUI 2023: 353-367 - [c21]Hyeonsu B. Kang, Tongshuang Wu, Joseph Chee Chang, Aniket Kittur:
Synergi: A Mixed-Initiative System for Scholarly Synthesis and Sensemaking. UIST 2023: 43:1-43:19 - [i39]Tongshuang Wu, Hua Shen, Daniel S. Weld, Jeffrey Heer, Marco Túlio Ribeiro:
ScatterShot: Interactive In-context Example Curation for Text Transformation. CoRR abs/2302.07346 (2023) - [i38]Hua Shen, Tongshuang Wu:
Parachute: Evaluating Interactive Human-LM Co-writing Systems. CoRR abs/2303.06333 (2023) - [i37]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 abs/2304.08354 (2023) - [i36]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 abs/2305.00955 (2023) - [i35]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 abs/2305.09770 (2023) - [i34]Yiming Zhang, Sravani Nanduri, Liwei Jiang, Tongshuang Wu, Maarten Sap:
BiasX: "Thinking Slow" in Toxic Content Moderation with Explanations of Implied Social Biases. CoRR abs/2305.13589 (2023) - [i33]Vijay Viswanathan, Luyu Gao, Tongshuang Wu, Pengfei Liu, Graham Neubig:
DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions. CoRR abs/2305.16636 (2023) - [i32]Logan Stapleton, Jordan Taylor, Sarah E. Fox, Tongshuang Wu, Haiyi Zhu:
Seeing Seeds Beyond Weeds: Green Teaming Generative AI for Beneficial Uses. CoRR abs/2306.03097 (2023) - [i31]Qianou Ma, Tongshuang Wu, Kenneth R. Koedinger:
Is AI the better programming partner? Human-Human Pair Programming vs. Human-AI pAIr Programming. CoRR abs/2306.05153 (2023) - [i30]Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, Tongshuang Wu, Graham Neubig:
Large Language Models Enable Few-Shot Clustering. CoRR abs/2307.00524 (2023) - [i29]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 abs/2307.10168 (2023) - [i28]Hyeonsu B. Kang, Sherry Tongshuang Wu, Joseph Chee Chang, Aniket Kittur:
Synergi: A Mixed-Initiative System for Scholarly Synthesis and Sensemaking. CoRR abs/2308.07517 (2023) - [i27]Vijay Viswanathan, Chenyang Zhao, Amanda Bertsch, Tongshuang Wu, Graham Neubig:
Prompt2Model: Generating Deployable Models from Natural Language Instructions. CoRR abs/2308.12261 (2023) - [i26]Cheng Qian, Xinran Zhao, Sherry Tongshuang Wu:
"Merge Conflicts!" Exploring the Impacts of External Distractors to Parametric Knowledge Graphs. CoRR abs/2309.08594 (2023) - [i25]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 abs/2310.02161 (2023) - [i24]Jeremiah Milbauer, Ziqi Ding, Zhijin Wu, Tongshuang Wu:
From Nuisance to News Sense: Augmenting the News with Cross-Document Evidence and Context. CoRR abs/2310.04592 (2023) - [i23]Qianou Ma, Hua Shen, Kenneth R. Koedinger, Tongshuang Wu:
HypoCompass: Large-Language-Model-based Tutor for Hypothesis Construction in Debugging for Novices. CoRR abs/2310.05292 (2023) - [i22]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 abs/2310.09668 (2023) - [i21]Chenglei Si, Navita Goyal, Sherry 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. CoRR abs/2310.12558 (2023) - [i20]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 abs/2310.16787 (2023) - [i19]Yuanchen Bai, Raoyi Huang, Vijay Viswanathan, Tzu-Sheng Kuo, Tongshuang Wu:
Measuring Adversarial Datasets. CoRR abs/2311.03566 (2023) - [i18]Lindia Tjuatja, Valerie Chen, Sherry Tongshuang Wu, Ameet Talwalkar, Graham Neubig:
Do LLMs exhibit human-like response biases? A case study in survey design. CoRR abs/2311.04076 (2023) - 2022
- [b1]Tongshuang Wu:
Interactive AI Model Debugging and Correction. University of Washington, USA, 2022 - [j6]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): 4609-4623 (2022) - [c20]Hua Shen, Tongshuang Wu, Wenbo Guo, Ting-Hao Kenneth Huang:
Are Shortest Rationales the Best Explanations for Human Understanding? ACL (2) 2022: 10-19 - [c19]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. ACL (1) 2022: 447-460 - [c18]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: 731-744 - [c17]Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner:
Tailor: Generating and Perturbing Text with Semantic Controls. ACL (1) 2022: 3194-3213 - [c16]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: 116:1-116:6 - [c15]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: 218:1-218:21 - [c14]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: 359:1-359:10 - [c13]Tongshuang Wu, Michael Terry, Carrie Jun Cai:
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts. CHI 2022: 385:1-385:22 - [c12]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: 398:1-398:15 - [i17]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 abs/2202.06205 (2022) - [i16]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 abs/2203.06566 (2022) - [i15]Hua Shen, Tongshuang Wu, Wenbo Guo, Ting-Hao Kenneth Huang:
Are Shortest Rationales the Best Explanations for Human Understanding? CoRR abs/2203.08788 (2022) - [i14]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 abs/2203.13947 (2022) - [i13]Yun Wang, Zhitao Hou, Leixian Shen, Tongshuang Wu, Jiaqi Wang, He Huang, Haidong Zhang, Dongmei Zhang:
Towards Natural Language-Based Visualization Authoring. CoRR abs/2208.10947 (2022) - [i12]Chenyang Yang, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner, Tongshuang Wu:
Capabilities for Better ML Engineering. CoRR abs/2211.06409 (2022) - [i11]Xiaoran Wu, Zihan Yan, Chongjie Zhang, Tongshuang Wu:
Decisions that Explain Themselves: A User-Centric Deep Reinforcement Learning Explanation System. CoRR abs/2212.00888 (2022) - 2021
- [c11]Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld:
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models. ACL/IJCNLP (1) 2021: 6707-6723 - [c10]Tongshuang Wu:
Principles and Interactive Tools for Evaluating and Improving the Behavior of Natural Language Processing models. CHI Extended Abstracts 2021: 65:1-65:6 - [c9]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: 81:1-81:16 - [c8]Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh:
Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract). IJCAI 2021: 4824-4828 - [i10]Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld:
Polyjuice: Automated, General-purpose Counterfactual Generation. CoRR abs/2101.00288 (2021) - [i9]Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner:
Tailor: Generating and Perturbing Text with Semantic Controls. CoRR abs/2107.07150 (2021) - [i8]Xingbo Wang, Yao Ming, Tongshuang Wu, Haipeng Zeng, Yong Wang, Huamin Qu:
DeHumor: Visual Analytics for Decomposing Humor. CoRR abs/2107.08356 (2021) - [i7]Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Tran Bao 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 abs/2109.03423 (2021) - [i6]Tongshuang Wu, Michael Terry, Carrie J. Cai:
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts. CoRR abs/2110.01691 (2021) - [i5]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, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto, Aman Srivastava, K. V. Aditya Srivatsa, Tony Sun, Mukund Varma T., A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie J. Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmanski, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang:
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. CoRR abs/2112.02721 (2021) - [i4]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 abs/2112.13980 (2021) - 2020
- [c7]Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh:
Beyond Accuracy: Behavioral Testing of NLP Models with CheckList. ACL 2020: 4902-4912 - [c6]Zhihang Dong, Tongshuang Wu, Sicheng Song, Mingrui Zhang:
Interactive Attention Model Explorer for Natural Language Processing Tasks with Unbalanced Data Sizes. PacificVis 2020: 46-50 - [c5]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: 1-13 - [c4]Tongshuang Wu, Kanit Wongsuphasawat, Donghao Ren, Kayur Patel, Chris DuBois:
Tempura: Query Analysis with Structural Templates. CHI 2020: 1-12 - [i3]Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh:
Beyond Accuracy: Behavioral Testing of NLP models with CheckList. CoRR abs/2005.04118 (2020) - [i2]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 abs/2006.14779 (2020)
2010 – 2019
- 2019
- [j5]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): 550-559 (2019) - [j4]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): 24:1-24:27 (2019) - [c3]Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld:
Errudite: Scalable, Reproducible, and Testable Error Analysis. ACL (1) 2019: 747-763 - 2018
- [i1]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:
Technology-Enabled Disinformation: Summary, Lessons, and Recommendations. CoRR abs/1812.09383 (2018) - 2017
- [j3]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): 141-150 (2017) - 2016
- [j2]Tongshuang Wu, Yingcai Wu, Conglei Shi, Huamin Qu, Weiwei Cui:
PieceStack: Toward Better Understanding of Stacked Graphs. IEEE Trans. Vis. Comput. Graph. 22(6): 1640-1651 (2016) - [c2]Tongshuang Wu, Yuan Yao, Yuqing Duan, Xinzhi Fan, Huamin Qu:
NetworkSeer: Visual analysis for social network in MOOCs. PacificVis 2016: 194-198 - [c1]Yun Wang, Tongshuang Wu, Zhutian Chen, Qiong Luo, Huamin Qu:
STAC: Enhancing stacked graphs for time series analysis. PacificVis 2016: 234-238 - 2015
- [j1]Kimchi Strasser, Erin McDonnell, Carol Nyaga, Min Wu, Sherry Wu, Hayda Almeida, Marie-Jean Meurs, Leila Kosseim, Justin Powlowski, Gregory Butler, Adrian Tsang:
mycoCLAP, the database for characterized lignocellulose-active proteins of fungal origin: resource and text mining curation support. Database J. Biol. Databases Curation 2015 (2015)
Coauthor Index
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