Tongshuang Wu

131 papers A* 19A 1B 3Journal 78Unranked 29
YearRankTypeTitle / Venue / Authors
2026 A* conf
Behavioral Indicators of Overreliance During Interaction with Conversational Language Models.
CHI
Chang Liu, Qinyi Zhou, Xinjie Shen, Xingyu Bruce Liu, Tongshuang Wu, Xiang 'Anthony' Chen
2026 J jnl
Behavioral Indicators of Overreliance During Interaction with Conversational Language Models.
CoRR
Chang Liu, Qinyi Zhou, Xinjie Shen, Xingyu Bruce Liu, Tongshuang Wu, Xiang 'Anthony' Chen
2026 J jnl
Comparing Developer and LLM Biases in Code Evaluation.
CoRR
Aditya Mittal, Ryan Shar, Zichu Wu, Shyam Agarwal, Tongshuang Wu, Chris Donahue, Ameet Talwalkar, Wayne Chi, Valerie Chen
2026 J jnl
Empirical Modeling of Therapist-Client Dynamics in Psychotherapy Using LLM-Based Assessments.
CoRR
Angela Chen, Siwei Jin, Canwen Wang, Holly Swartz, Tongshuang Wu, Robert E. Kraut, Haiyi Zhu
2026 A* conf
Evidotes: Integrating Scientific Evidence and Anecdotes to Support Uncertainties Triggered by Peer Health Posts.
CHI
Shreya Bali, Riku Arakawa, Peace Odiase, Tongshuang Wu, Mayank Goel
2026 J jnl
Evidotes: Integrating Scientific Evidence and Anecdotes to Support Uncertainties Triggered by Peer Health Posts.
CoRR
Shreya Bali, Riku Arakawa, Peace Odiase, Tongshuang Wu, Mayank Goel
2026 — conf
From Human-Human Collaboration to Human-Agent Collaboration: A Vision, Design Philosophy, and an Empirical Framework for Achieving Successful Partnerships Between Humans and LLM Agents.
CHI Extended Abstracts
Bingsheng Yao, Chaoran Chen, April Yi Wang, Tongshuang Wu, Toby Jia-Jun Li, Dakuo Wang
2026 J jnl
Improving Attributed Long-form Question Answering with Intent Awareness.
CoRR
Xinran Zhao, Aakanksha Naik, Jay DeYoung, Joseph Chee Chang, Jena D. Hwang, Tongshuang Wu, Varsha Kishore
2026 J jnl
Improving Automated Feedback Systems for Tutor Training in Low-Resource Scenarios Through Data Augmentation.
IEEE Trans. Learn. Technol.
Chentianye Xu, Jionghao Lin, Yujing Zhang, Tongshuang Wu, Vincent Aleven, Kenneth R. Koedinger
2026 J jnl
Modeling Multi-Party Interaction in Couples Therapy: A Multi-Agent Simulation Approach.
CoRR
Canwen Wang, Angela Chen, Catherine Bao, Siwei Jin, Yee Kit Chan, Jessica R. Mindel, Sijia Xie, Holly Swartz, Tongshuang Wu, Robert E. Kraut, Haiyi Zhu
2026 A* conf
Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science.
CHI
Qianou Ma, Kenneth R. Koedinger, Tongshuang Wu
2025 — conf
Bidirectional Human-AI Alignment: Emerging Challenges and Opportunities.
CHI Extended Abstracts
Hua Shen, Tiffany Knearem, Reshmi Ghosh, Michael Xieyang Liu, Andrés Monroy-Hernández, Tongshuang Wu, Diyi Yang, Yun Huang, Tanushree Mitra, Yang Li, Marti A. Hearst
2025 J jnl
Checklists Are Better Than Reward Models For Aligning Language Models.
CoRR
Vijay Viswanathan, Yanchao Sun, Shuang Ma, Xiang Kong, Meng Cao, Graham Neubig, Tongshuang Wu
2025 J jnl
Completion ≠ Collaboration: Scaling Collaborative Effort with Agents.
CoRR
Shannon Zejiang Shen, Valerie Chen, Ken Gu, Alexis Ross, Zixian Ma, Jillian Ross, Alex Gu, Chenglei Si, Wayne Chi, Andi Peng, Jocelyn J. Shen, Ameet Talwalkar, Tongshuang Wu, David A. Sontag
2025 J jnl
DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research.
CoRR
Rulin Shao, Akari Asai, Shannon Zejiang Shen, Hamish Ivison, Varsha Kishore, Jingming Zhuo, Xinran Zhao, Molly Park, Samuel G. Finlayson, David A. Sontag, Tyler Murray, Sewon Min, Pradeep Dasigi, Luca Soldaini, Faeze Brahman, Wen-tau Yih, Tongshuang Wu, Luke Zettlemoyer, Yoon Kim, Hannaneh Hajishirzi, Pang Wei Koh
2025 A* conf
Evaluating Mathematical Reasoning Beyond Accuracy.
AAAI
Shijie Xia, Xuefeng Li, Yixin Liu, Tongshuang Wu, Pengfei Liu
2025 J jnl
From Prompts to Reflection: Designing Reflective Play for GenAI Literacy.
CoRR
Qianou Ma, Megan Chai, Yike Tan, Jihun Choi, Jini Kim, Erik Harpstead, Geoff Kaufman, Tongshuang Wu
2025 A* conf
How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging (Extended Abstract).
IJCAI
Qianou Ma, Hua Shen, Ken Koedinger, Tongshuang Wu
2025 — conf
Human Subjects Research in the Age of Generative AI: Opportunities and Challenges of Applying LLM-Simulated Data to HCI Studies.
CHI Extended Abstracts
Angel Hsing-Chi Hwang, Michael S. Bernstein, S. Shyam Sundar, Renwen Zhang, Manoel Horta Ribeiro, Yingdan Lu, Serina Chang, Tongshuang Wu, Aimei Yang, Dmitri Williams, Joon Sung Park, Katherine Ognyanova, Ziang Xiao, Aaron Shaw, David A. Shamma
2025 J jnl
Improving Automated Feedback Systems for Tutor Training in Low-Resource Scenarios through Data Augmentation.
CoRR
Chentianye Xu, Jionghao Lin, Tongshuang Wu, Vincent Aleven, Kenneth R. Koedinger
2025 — conf
LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs.
CHI Extended Abstracts
Tongshuang Wu, Haiyi Zhu, Maya Albayrak, Alexis Axon, Amanda Bertsch, Wenxing Deng, Ziqi Ding, Boyuan 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
2025 A* conf
MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers.
EMNLP
Jushaan Singh Kalra, Xinran Zhao, To Eun Kim, Fengyu Cai, Fernando Diaz, Tongshuang Wu
2025 J jnl
MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers.
CoRR
Jushaan Singh Kalra, Xinran Zhao, To Eun Kim, Fengyu Cai, Fernando Diaz, Tongshuang Wu
2025 J jnl
Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications in AI-assisted Data Analysis.
CoRR
Qianou Ma, Kenneth R. Koedinger, Tongshuang Wu
2025 A conf
Orbit: A Framework for Designing and Evaluating Multi-objective Rankers.
IUI
Chenyang Yang, Tesi Xiao, Michael Shavlovsky, Christian Kästner, Tongshuang Wu
2025 J jnl
RARE: Retrieval-Aware Robustness Evaluation for Retrieval-Augmented Generation Systems.
CoRR
Yixiao Zeng, Tianyu Cao, Danqing Wang, Xinran Zhao, Zimeng Qiu, Morteza Ziyadi, Tongshuang Wu, Lei Li
2025 — conf
SOTOPIA-S4: a user-friendly system for flexible, customizable, and large-scale social simulation.
NAACL (System Demonstrations)
Xuhui Zhou, Zhe Su, Sophie Feng, Jiaxu Zhou, Jen-tse Huang, Hsien-Te Kao, Spencer Lynch, Svitlana Volkova, Tongshuang Wu, Anita Woolley, Hao Zhu, Maarten Sap
2025 — conf
SPHERE: An Evaluation Card for Human-AI Systems.
ACL (Findings)
Dora Zhao, Qianou Ma, Xinran Zhao, Chenglei Si, Chenyang Yang, Ryan Louie, Ehud Reiter, Diyi Yang, Tongshuang Wu
2025 J jnl
SPHERE: An Evaluation Card for Human-AI Systems.
CoRR
Qianou Ma, Dora Zhao, Xinran Zhao, Chenglei Si, Chenyang Yang, Ryan Louie, Ehud Reiter, Diyi Yang, Tongshuang Wu
2025 J jnl
The Ramon Llull's Thinking Machine for Automated Ideation.
CoRR
Xinran Zhao, Boyuan Zheng, Chenglei Si, Haofei Yu, Ken Liu, Runlong Zhou, Ruochen Li, Tong Chen, Xiang Li, Yiming Zhang, Tongshuang Wu
2025 J jnl
Tool Learning with Foundation Models.
ACM Comput. Surv.
Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Xuanhe Zhou, Yufei Huang, Chaojun Xiao, Chi Han, Yi R. 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, Guoliang Li, Zhiyuan Liu, Maosong Sun
2025 J jnl
What Prompts Don't Say: Understanding and Managing Underspecification in LLM Prompts.
CoRR
Chenyang Yang, Yike Shi, Qianou Ma, Michael Xieyang Liu, Christian Kästner, Tongshuang Wu
2025 J jnl
What Should We Engineer in Prompts? Training Humans in Requirement-Driven LLM Use.
ACM Trans. Comput. Hum. Interact.
Qianou Ma, Weirui Peng, Chenyang Yang, Hua Shen, Ken Koedinger, Tongshuang Wu
2025 — conf
cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree.
EMNLP (Findings)
Yilin Zhang, Xinran Zhao, Zora Zhiruo Wang, Chenyang Yang, Jiayi Wei, Tongshuang Wu
2025 J jnl
cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree.
CoRR
Yilin Zhang, Xinran Zhao, Zora Zhiruo Wang, Chenyang Yang, Jiayi Wei, Tongshuang Wu
2024 J jnl
A large-scale audit of dataset licensing and attribution in AI.
Nat. Mac. Intell.
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 Bollacker, Tongshuang Wu, Luis Villa, Sandy Pentland, Sara Hooker
2024 — conf
Better Synthetic Data by Retrieving and Transforming Existing Datasets.
ACL (Findings)
Saumya Gandhi, Ritu Gala, Vijay Viswanathan, Tongshuang Wu, Graham Neubig
2024 J jnl
Better Synthetic Data by Retrieving and Transforming Existing Datasets.
CoRR
Saumya Gandhi, Ritu Gala, Vijay Viswanathan, Tongshuang Wu, Graham Neubig
2024 J jnl
Beyond Relevance: Evaluate and Improve Retrievers on Perspective Awareness.
CoRR
Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Tongshuang Wu
2024 J jnl
Do LLMs Exhibit Human-like Response Biases? A Case Study in Survey Design.
Trans. Assoc. Comput. Linguistics
Lindia Tjuatja, Valerie Chen, Tongshuang Wu, Ameet Talwalkwar, Graham Neubig
2024 J jnl
Evaluating Mathematical Reasoning Beyond Accuracy.
CoRR
Shijie Xia, Xuefeng Li, Yixin Liu, Tongshuang Wu, Pengfei Liu
2024 — conf
Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models.
ACL (Findings)
Xinran Zhao, Hongming Zhang, Xiaoman Pan, Wenlin Yao, Dong Yu, Tongshuang Wu, Jianshu Chen
2024 J jnl
Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models.
CoRR
Xinran Zhao, Hongming Zhang, Xiaoman Pan, Wenlin Yao, Dong Yu, Tongshuang Wu, Jianshu Chen
2024 J jnl
HiMemFormer: Hierarchical Memory-Aware Transformer for Multi-Agent Action Anticipation.
CoRR
Zirui Wang, Xinran Zhao, Simon Stepputtis, Woojun Kim, Tongshuang Wu, Katia P. Sycara, Yaqi Xie
2024 J jnl
Large Language Models Enable Few-Shot Clustering.
Trans. Assoc. Comput. Linguistics
Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, Tongshuang Wu, Graham Neubig
2024 — conf
Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong.
NAACL-HLT
Chenglei Si, Navita Goyal, Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daumé III, Jordan L. Boyd-Graber
2024 J jnl
Orbit: A Framework for Designing and Evaluating Multi-objective Rankers.
CoRR
Chenyang Yang, Tesi Xiao, Michael Shavlovsky, Christian Kästner, Tongshuang Wu
2024 J jnl
SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic Finetuning.
CoRR
Chenyang Zhao, Xueying Jia, Vijay Viswanathan, Tongshuang Wu, Graham Neubig
2024 A* conf
Selenite: Scaffolding Online Sensemaking with Comprehensive Overviews Elicited from Large Language Models.
CHI
Michael Xieyang Liu, Tongshuang Wu, Tianying Chen, Franklin Mingzhe Li, Aniket Kittur, Brad A. Myers
2024 — conf
Synthetic Multimodal Question Generation.
EMNLP (Findings)
Ian Wu, Sravan Jayanthi, Vijay Viswanathan, Simon Rosenberg, Sina Pakazad, Tongshuang Wu, Graham Neubig
2024 J jnl
Synthetic Multimodal Question Generation.
CoRR
Ian Wu, Sravan Jayanthi, Vijay Viswanathan, Simon Rosenberg, Sina Pakazad, Tongshuang Wu, Graham Neubig
2024 — conf
Trust and Reliance in Evolving Human-AI Workflows (TREW).
CHI Extended Abstracts
Zahra Ashktorab, Gagan Bansal, Zana Buçinca, Kenneth Holstein, Jessica Hullman, Alison Marie Smith-Renner, Tongshuang Wu, Wenjuan Zhang
2024 J jnl
WebCanvas: Benchmarking Web Agents in Online Environments.
CoRR
Yichen Pan, Dehan Kong, Sida Zhou, Cheng Cui, Yifei Leng, Bing Jiang, Hangyu Liu, Yanyi Shang, Shuyan Zhou, Tongshuang Wu, Zhengyang Wu
2024 A* conf
What Is Wrong with My Model? Identifying Systematic Problems with Semantic Data Slicing.
ASE
Chenyang Yang, Yining Hong, Grace A. Lewis, Tongshuang Wu, Christian Kästner
2024 J jnl
What Is Wrong with My Model? Identifying Systematic Problems with Semantic Data Slicing.
CoRR
Chenyang Yang, Yining Hong, Grace A. Lewis, Tongshuang Wu, Christian Kästner
2024 J jnl
What You Say = What You Want? Teaching Humans to Articulate Requirements for LLMs.
CoRR
Qianou Ma, Weirui Peng, Hua Shen, Kenneth R. Koedinger, Tongshuang Wu
2024 A* conf
Wikibench: Community-Driven Data Curation for AI Evaluation on Wikipedia.
CHI
Tzu-Sheng Kuo, Aaron Lee Halfaker, Zirui Cheng, JiWoo Kim, Meng-Hsin Wu, Tongshuang Wu, Kenneth Holstein, Haiyi Zhu
2024 J jnl
Wikibench: Community-Driven Data Curation for AI Evaluation on Wikipedia.
CoRR
Tzu-Sheng Kuo, Aaron Halfaker, Zirui Cheng, JiWoo Kim, Meng-Hsin Wu, Tongshuang Wu, Kenneth Holstein, Haiyi Zhu
2023 — conf
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs.
EMNLP (Findings)
Chenyang Yang, Rishabh Rustogi, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner, Tongshuang Wu
2023 J jnl
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs.
CoRR
Chenyang Yang, Rishabh Rustogi, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner, Tongshuang Wu
2023 A* conf
BiasX: "Thinking Slow" in Toxic Content Moderation with Explanations of Implied Social Biases.
EMNLP
Yiming Zhang, Sravani Nanduri, Liwei Jiang, Tongshuang Wu, Maarten Sap
2023 J jnl
BiasX: "Thinking Slow" in Toxic Content Moderation with Explanations of Implied Social Biases.
CoRR
Yiming Zhang, Sravani Nanduri, Liwei Jiang, Tongshuang Wu, Maarten Sap
2023 J jnl
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation.
CoRR
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
2023 J jnl
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation.
Trans. Assoc. Comput. Linguistics
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
2023 — conf
Capabilities for Better ML Engineering.
SafeAI@AAAI
Chenyang Yang, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner, Tongshuang Wu
2023 — conf
ConvXAI : Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing.
CSCW Companion
Hua Shen, Chieh-Yang Huang, Tongshuang Wu, Ting-Hao Kenneth Huang
2023 J jnl
ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing.
CoRR
Hua Shen, Chieh-Yang Huang, Tongshuang Wu, Ting-Hao Kenneth Huang
2023 — conf
DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions.
ACL (1)
Vijay Viswanathan, Luyu Gao, Tongshuang Wu, Pengfei Liu, Graham Neubig
2023 J jnl
DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions.
CoRR
Vijay Viswanathan, Luyu Gao, Tongshuang Wu, Pengfei Liu, Graham Neubig
2023 — conf
Designing, Evaluating, and Learning from Humans Interacting with NLP Models.
EMNLP (Tutorial Abstracts)
Tongshuang Wu, Diyi Yang, Sebastin Santy
2023 J jnl
From Nuisance to News Sense: Augmenting the News with Cross-Document Evidence and Context.
CoRR
Jeremiah Milbauer, Ziqi Ding, Zhijin Wu, Tongshuang Wu
2023 J jnl
HypoCompass: Large-Language-Model-based Tutor for Hypothesis Construction in Debugging for Novices.
CoRR
Qianou Ma, Hua Shen, Kenneth R. Koedinger, Tongshuang Wu
2023 J jnl
Is AI the better programming partner? Human-Human Pair Programming vs. Human-AI pAIr Programming.
CoRR
Qianou Ma, Tongshuang Wu, Kenneth R. Koedinger
2023 — conf
LLMs and the Infrastructure of CSCW.
CSCW Companion
Chinmay Kulkarni, Tongshuang Wu, Kenneth Holstein, Q. Vera Liao, Min Kyung Lee, Mina Lee, Hariharan Subramonyam
2023 J jnl
LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs.
CoRR
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
2023 J jnl
Large Language Models Enable Few-Shot Clustering.
CoRR
Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, Tongshuang Wu, Graham Neubig
2023 J jnl
Measuring Adversarial Datasets.
CoRR
Yuanchen Bai, Raoyi Huang, Vijay Viswanathan, Tzu-Sheng Kuo, Tongshuang Wu
2023 — conf
NewsSense: Reference-free Verification via Cross-document Comparison.
EMNLP (Demos)
Jeremiah Milbauer, Ziqi Ding, Zhijin Wu, Tongshuang Wu
2023 J jnl
Parachute: Evaluating Interactive Human-LM Co-writing Systems.
CoRR
Hua Shen, Tongshuang Wu
2023 — conf
Prompt2Model: Generating Deployable Models from Natural Language Instructions.
EMNLP (Demos)
Vijay Viswanathan, Chenyang Zhao, Amanda Bertsch, Tongshuang Wu, Graham Neubig
2023 J jnl
Prompt2Model: Generating Deployable Models from Natural Language Instructions.
CoRR
Vijay Viswanathan, Chenyang Zhao, Amanda Bertsch, Tongshuang Wu, Graham Neubig
2023 J jnl
ScatterShot: Interactive In-context Example Curation for Text Transformation.
CoRR
Tongshuang Wu, Hua Shen, Daniel S. Weld, Jeffrey Heer, Marco Túlio Ribeiro
2023 J jnl
Seeing Seeds Beyond Weeds: Green Teaming Generative AI for Beneficial Uses.
CoRR
Logan Stapleton, Jordan Taylor, Sarah E. Fox, Tongshuang Wu, Haiyi Zhu
2023 J jnl
Selenite: Scaffolding Decision Making with Comprehensive Overviews Elicited from Large Language Models.
CoRR
Michael Xieyang Liu, Tongshuang Wu, Tianying Chen, Franklin Mingzhe Li, Aniket Kittur, Brad A. Myers
2023 A* conf
Synergi: A Mixed-Initiative System for Scholarly Synthesis and Sensemaking.
UIST
Hyeonsu B. Kang, Tongshuang Wu, Joseph Chee Chang, Aniket Kittur
2023 J jnl
The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI.
CoRR
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 Bollacker, Tongshuang Wu, Luis Villa, Sandy Pentland, Deb Roy, Sara Hooker
2023 J jnl
Tool Learning with Foundation Models.
CoRR
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
2023 J jnl
Towards Natural Language-Based Visualization Authoring.
IEEE Trans. Vis. Comput. Graph.
Yun Wang, Zhitao Hou, Leixian Shen, Tongshuang Wu, Jiaqi Wang, He Huang, Haidong Zhang, Dongmei Zhang
2022 A* conf
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts.
CHI
Tongshuang Wu, Michael Terry, Carrie Jun Cai
2022 — conf
Are Shortest Rationales the Best Explanations for Human Understanding?
ACL (2)
Hua Shen, Tongshuang Wu, Wenbo Guo, Ting-Hao Kenneth Huang
2022 J jnl
Are Shortest Rationales the Best Explanations for Human Understanding?
CoRR
Hua Shen, Tongshuang Wu, Wenbo Guo, Ting-Hao Kenneth Huang
2022 J jnl
Capabilities for Better ML Engineering.
CoRR
Chenyang Yang, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner, Tongshuang Wu
2022 J jnl
DeHumor: Visual Analytics for Decomposing Humor.
IEEE Trans. Vis. Comput. Graph.
Xingbo Wang, Yao Ming, Tongshuang Wu, Haipeng Zeng, Yong Wang, Huamin Qu
2022 J jnl
Decisions that Explain Themselves: A User-Centric Deep Reinforcement Learning Explanation System.
CoRR
Xiaoran Wu, Zihan Yan, Chongjie Zhang, Tongshuang Wu
2022 — conf
Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension.
ACL (1)
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
2022 J jnl
Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension.
CoRR
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
2022 — —
Interactive AI Model Debugging and Correction
Tongshuang Wu
2022 — conf
It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books.
ACL (1)
Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Zheng Zhang, Toby Jia-Jun Li, Mo Yu, Ying Xu
2022 A* conf
Pretty Princess vs. Successful Leader: Gender Roles in Greeting Card Messages.
CHI
Jiao Sun, Tongshuang Wu, Yue Jiang, Ronil Awalegaonkar, Xi Victoria Lin, Diyi Yang
2022 — conf
PromptChainer: Chaining Large Language Model Prompts through Visual Programming.
CHI Extended Abstracts
Tongshuang Wu, Ellen Jiang, Aaron Donsbach, Jeff Gray, Alejandra Molina, Michael Terry, Carrie J. Cai
2022 J jnl
PromptChainer: Chaining Large Language Model Prompts through Visual Programming.
CoRR
Tongshuang Wu, Ellen Jiang, Aaron Donsbach, Jeff Gray, Alejandra Molina, Michael Terry, Carrie J. Cai
2022 A* conf
StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement.
CHI
Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, Toby Jia-Jun Li
2022 J jnl
StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement.
CoRR
Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, Toby Jia-Jun Li
2022 — conf
Tailor: Generating and Perturbing Text with Semantic Controls.
ACL (1)
Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner
2022 J jnl
Towards Natural Language-Based Visualization Authoring.
CoRR
Yun Wang, Zhitao Hou, Leixian Shen, Tongshuang Wu, Jiaqi Wang, He Huang, Haidong Zhang, Dongmei Zhang
2022 — conf
Workshop on Trust and Reliance in AI-Human Teams (TRAIT).
CHI Extended Abstracts
Gagan Bansal, Alison Marie Smith-Renner, Zana Buçinca, Tongshuang Wu, Kenneth Holstein, Jessica Hullman, Simone Stumpf
2021 J jnl
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts.
CoRR
Tongshuang Wu, Michael Terry, Carrie J. Cai
2021 A* conf
Beyond Accuracy: Behavioral Testing of NLP Models with Checklist (Extended Abstract).
IJCAI
Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh
2021 J jnl
DeHumor: Visual Analytics for Decomposing Humor.
CoRR
Xingbo Wang, Yao Ming, Tongshuang Wu, Haipeng Zeng, Yong Wang, Huamin Qu
2021 A* conf
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance.
CHI
Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Túlio Ribeiro, Daniel S. Weld
2021 J jnl
It is AI's Turn to Ask Human a Question: Question and Answer Pair Generation for Children Storybooks in FairytaleQA Dataset.
CoRR
Bingsheng Yao, Dakuo Wang, Tongshuang Wu, Tran Bao Hoang, Branda Sun, Toby Jia-Jun Li, Mo Yu, Ying Xu
2021 J jnl
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation.
CoRR
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 Martinez, Aman Srivastava, KV 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
2021 J jnl
Polyjuice: Automated, General-purpose Counterfactual Generation.
CoRR
Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld
2021 — conf
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models.
ACL/IJCNLP (1)
Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld
2021 J jnl
Pretty Princess vs. Successful Leader: Gender Roles in Greeting Card Messages.
CoRR
Jiao Sun, Tongshuang Wu, Yue Jiang, Ronil Awalegaonkar, Xi Victoria Lin, Diyi Yang
2021 — conf
Principles and Interactive Tools for Evaluating and Improving the Behavior of Natural Language Processing models.
CHI Extended Abstracts
Tongshuang Wu
2021 J jnl
Tailor: Generating and Perturbing Text with Semantic Controls.
CoRR
Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner
2020 A* conf
Beyond Accuracy: Behavioral Testing of NLP Models with CheckList.
ACL
Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh
2020 J jnl
Beyond Accuracy: Behavioral Testing of NLP models with CheckList.
CoRR
Marco Túlio Ribeiro, Tongshuang Wu, Carlos Guestrin, Sameer Singh
2020 J jnl
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance.
CoRR
Gagan Bansal, Tongshuang Wu, Joyce Zhou, Raymond Fok, Besmira Nushi, Ece Kamar, Marco Túlio Ribeiro, Daniel S. Weld
2020 B conf
Interactive Attention Model Explorer for Natural Language Processing Tasks with Unbalanced Data Sizes.
PacificVis
Zhihang Dong, Tongshuang Wu, Sicheng Song, Mingrui Zhang
2020 A* conf
No Explainability without Accountability: An Empirical Study of Explanations and Feedback in Interactive ML.
CHI
Alison Smith-Renner, Ron Fan, Melissa Birchfield, Tongshuang Wu, Jordan L. Boyd-Graber, Daniel S. Weld, Leah Findlater
2020 A* conf
Tempura: Query Analysis with Structural Templates.
CHI
Tongshuang Wu, Kanit Wongsuphasawat, Donghao Ren, Kayur Patel, Chris DuBois
2019 — conf
Errudite: Scalable, Reproducible, and Testable Error Analysis.
ACL (1)
Tongshuang Wu, Marco Túlio Ribeiro, Jeffrey Heer, Daniel S. Weld
2019 J jnl
Interactive Context-Aware Anomaly Detection Guided by User Feedback.
IEEE Trans. Hum. Mach. Syst.
Yang Shi, Maoran Xu, Rongwen Zhao, Hao Fu, Tongshuang Wu, Nan Cao
2019 J jnl
Local Decision Pitfalls in Interactive Machine Learning: An Investigation into Feature Selection in Sentiment Analysis.
ACM Trans. Comput. Hum. Interact.
Tongshuang Wu, Daniel S. Weld, Jeffrey Heer
2018 J jnl
Technology-Enabled Disinformation: Summary, Lessons, and Recommendations.
CoRR
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
2017 J jnl
NameClarifier: A Visual Analytics System for Author Name Disambiguation.
IEEE Trans. Vis. Comput. Graph.
Qiaomu Shen, Tongshuang Wu, Haiyan Yang, Yanhong Wu, Huamin Qu, Weiwei Cui
2016 B conf
NetworkSeer: Visual analysis for social network in MOOCs.
PacificVis
Tongshuang Wu, Yuan Yao, Yuqing Duan, Xinzhi Fan, Huamin Qu
2016 J jnl
PieceStack: Toward Better Understanding of Stacked Graphs.
IEEE Trans. Vis. Comput. Graph.
Tongshuang Wu, Yingcai Wu, Conglei Shi, Huamin Qu, Weiwei Cui
2016 B conf
STAC: Enhancing stacked graphs for time series analysis.
PacificVis
Yun Wang, Tongshuang Wu, Chen Zhu-Tian, Qiong Luo, Huamin Qu