Sherry Tongshuang Wu

Hello World!
I'm Sherry Tongshuang Wu
(吴彤霜)!

Assistant Professor

School of CS, Carnegie Mellon University (CMU SCS)

Human Computer Interaction Institute (HCII)

Language Technololgy Institute (LTI)

I am trained (by my amazing PhD advisors Jeffrey Heer and Dan Weld at the University of Washington) to be an HCI+NLP researcher. I study how humans (AI experts, lay users, domain experts) interact with (debug, audit, collaborate) AI systems.

Most recently, I work on:

Design, evaluate, build, and interact with AI systems that are compatible with actual human goals.

Click & jump to some recent papers that represent my research interests and style (or read my Research Statement):

Watch: Data-centric AI usage

We askHow are people using AIs in practice?

We doReflect user expectations in data collection. Analyze user-submitted data to express the task evolution and complexity.

Inspect: Practical AI Evaluation

We askHow do we know AIs are beneficial?

We doBuild frameworks that contextualize AI error severity. Design measurements that quantify user-specific net gains.

Enrich: Interpretable & Controllable Human-AI Interaction

We askHow do we make AI systems more beneficial?

We doDesign and present AI explanations for appropriate reliance. Instruct humans to recover from AI errors.

If you are interested in exploring relevant topics with me at CMU,I will be looking for undergraduate, master or PhD students! PLEASE read this FAQ before emailing me.

Research Highlights

Tailor: Generating and Perturbing Text with Semantic Controls

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

ACL 2022: the 60th Annual Meeting of the Association for Computational Linguistics

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

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

ACL 2021: the 59th Annual Meeting of the Association for Computational Linguistics

Tempura: Query Analysis with Structural Templates

Tongshuang Wu, Kanit (Ham) Wongsuphasawat, Donghao Ren, Kayur Patel, Chris DuBois

CHI 2020: the 2020 Conference on Human Factors in Computing Systems

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

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

CHI 2021: the 2021 Conference on Human Factors in Computing Systems

Beyond Accuracy: Behavioral Testing of NLP Models with CheckList Best Paper

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

ACL 2020: the 58th Annual Meeting of the Association for Computational Linguistics

Errudite: Scalable, Reproducible, and Testable Error Analysis

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

ACL 2019: the 57th Annual Meeting of the Association for Computational Linguistics

ScatterShot: Interactive In-context Example Curation for Text Transformation

Tongshuang Wu, Hua Shen, Jeffrey Heer, Daniel S. Weld, Marco Tulio Ribeiro

IUI 2023: ACM Conference on Intelligent User Interfaces

Are Shortest Rationales the Best Explanations for Human Understanding?

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

ACL 2022: the 60th Annual Meeting of the Association for Computational Linguistics

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

Tongshuang Wu, Michael Terry, Carrie J. Cai

CHI 2022: the 2022 Conference on Human Factors in Computing Systems

Sherry @ CMU

Research Highlights