Wu, Tongshuang

Beyond Accuracy: Behavioral Testing of NLP models with CheckList

Ribeiro, M. T., Wu, T., Guestrin, C., & Singh, S. (2020) · arXiv

Software Testing and Debugging TechniquesTopic Modeling

Cited by 901

Beyond accuracy: behavioral testing of NLP models with CheckList

Ribeiro, M. T., Wu, T., Guestrin, C., & Singh, S. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Software Testing and Debugging TechniquesTopic Modeling

Cited by 890

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

Bansal, G., Wu, T., Zhou, J., Fok, R., Nushi, B., Kamar, E., Ribeiro, M. T., & Weld, D. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 757

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

Bansal, G., Wu, T., Zhou, J., Fok, R., Nushi, B., Kamar, E., Ribeiro, M. T., & Weld, D. S. (2020) · arXiv

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 754

PromptChainer: Chaining Large Language Model Prompts through Visual Programming

Wu, T., Jiang, E., Donsbach, A., Gray, J., Molina, A., Terry, M., & Cai, C. J. (2022) · CHI Conference on Human Factors in Computing Systems Extended Abstracts

Spreadsheets and End-User ComputingUsability and User Interface Design

Cited by 198

Tool Learning with Foundation Models

Qin, Y., Hu, S., Lin, Y., Chen, W., Ding, N., Cui, G., Zeng, Z., Huang, Y., Xiao, C., Han, C., et al. (2023) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 184

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

Zhang, Z., Xu, Y., Wang, Y., Yao, B., Ritchie, D., Wu, T., Yu, M., Wang, D., & Li, T. J.-J. (2022) · CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionSocial Robot Interaction and HRI

Cited by 174

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

Smith-Renner, A., Fan, R., Birchfield, M., Wu, T., Boyd-Graber, J., Weld, D. S., & Findlater, L. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 112

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

Fernandes, P., Madaan, A., Liu, E., Farinhas, A., Martins, P. H., Bertsch, A., de Souza, J. G. C., Zhou, S., Wu, T., Neubig, G., et al. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 44

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

Shen, H., Huang, C.-Y., Wu, T., & Huang, T.-H. K. (2023) · Computer Supported Cooperative Work and Social Computing

Explainable Artificial Intelligence (XAI)Usability and User Interface Design

Cited by 42

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

Wu, T., Weld, D. S., & Heer, J. (2019) · ACM Transactions on Computer-Human Interaction

Machine Learning and AlgorithmsExplainable Artificial Intelligence (XAI)

Cited by 39

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

Si, C., Goyal, N., Wu, T., Zhao, C., Feng, S., Daumé Iii, H., & Boyd-Graber, J. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Misinformation and Its ImpactsTopic Modeling

Cited by 26

cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree

Zhang, Y., Zhao, X., Wang, Z. Z., Yang, C., Wei, J., & Wu, T. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025

Software Engineering ResearchTopic Modeling

Cited by 11

Better Harnesses, Smaller Models: Building 90% Cheaper Agents via Automated Harness Adaptation

Yang, C., Zhao, X., Wu, T., & Kästner, C. (2026) · arXiv

Artificial Intelligence ApplicationsNatural Language Processing Techniques

Cited by 11

WebCanvas: Benchmarking Web Agents in Online Environments

Pan, Y., Kong, D., Zhou, S., Cui, C., Leng, Y., Jiang, B., Liu, H., Shang, Y., Zhou, S., Wu, T., et al. (2024) · arXiv

Web Data Mining and AnalysisInformation Retrieval and Search Behavior

Cited by 4

What Prompts Don't Say: Understanding and Managing Underspecification in LLM Prompts

Yang, C., Shi, Y., Ma, Q., Liu, M. X., Kästner, C., & Wu, T. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3