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Vivian Lai

Selective Explanations: Leveraging Human Input to Align Explainable AI

Jan 23, 2023
Vivian Lai, Yiming Zhang, Chacha Chen, Q. Vera Liao, Chenhao Tan

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* 21 pages, 25 figures

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An Exploration of Post-Editing Effectiveness in Text Summarization

Jun 13, 2022
Vivian Lai, Alison Smith-Renner, Ke Zhang, Ruijia Cheng, Wenjuan Zhang, Joel Tetreault, Alejandro Jaimes

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* 18 pages, 21 figures

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Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation

Apr 25, 2022
Vivian Lai, Samuel Carton, Rajat Bhatnagar, Q. Vera Liao, Yunfeng Zhang, Chenhao Tan

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* 18 pages, 44 figures

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Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies

Dec 21, 2021
Vivian Lai, Chacha Chen, Q. Vera Liao, Alison Smith-Renner, Chenhao Tan

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* 36 pages, 2 figures, see https://haidecisionmaking.github.io for website

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Using Transformers to Provide Teachers with Personalized Feedback on their Classroom Discourse: The TalkMoves Application

Apr 29, 2021
Abhijit Suresh, Jennifer Jacobs, Vivian Lai, Chenhao Tan, Wayne Ward, James H. Martin, Tamara Sumner

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* Presented at the AAAI 2021 Spring Symposium on Artificial Intelligence for K-12 Education

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Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making

Jan 27, 2021
Han Liu, Vivian Lai, Chenhao Tan

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* 42 pages, 22 figures

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Harnessing Explanations to Bridge AI and Humans

Mar 16, 2020
Vivian Lai, Samuel Carton, Chenhao Tan

* 4 pages, CHI 2020 Fair & Responsible AI Workshop

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"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans

Jan 14, 2020
Vivian Lai, Han Liu, Chenhao Tan

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* 26 pages, 48 figures, CHI 2020

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Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification

Oct 18, 2019
Vivian Lai, Jon Z. Cai, Chenhao Tan

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* 17 pages, 18 figures, EMNLP 2019, the code is available at https://vivlai.github.io/

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