Selected publications
Full publications here OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning
Jiaqi Ma*, Vivian Lai*, Yiming Zhang, Chacha Chen, Paul Hamilton, Davor Ljubenkov, Himabindu Lakkaraju, Chenhao Tan
arXiv:2403.05565
Evaluating Evaluation Metrics: A Framework for Analyzing NLG Evaluation Metrics using Measurement Theory
Ziang Xiao, Susu Zhang, Vivian Lai, Q. Vera Liao
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023.
Selective Explanations: Leveraging Human Input to Align Explainable AI
Vivian Lai, Yiming Zhang, Chacha Chen, Q. Vera Liao, Chenhao Tan
Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), 2023.
An Exploration of Post-Editing Effectiveness in Text Summarization
Vivian Lai, Alison Smith-Renner, Ke Zhang, Ruijia Cheng, Wenjuan Zhang, Joel Tetreault, Alejandro Jaimes
North American Chapter of the Association for Computational Linguistics (NAACL), 2022.
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies
Vivian Lai, Chacha Chen, Q. Vera Liao, Alison Smith-Renner, Chenhao Tan
Conference on Fairness, Accountability, and Transparency (FAccT), 2023.
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation
Vivian Lai, Samuel Carton, Rajat Bhatnagar, Q. Vera Liao, Yunfeng Zhang, Chenhao Tan
Conference on Human Factors in Computing Systems (CHI), 2022.
Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making
Han Liu, Vivian Lai, Chenhao Tan
Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), 2021.
Why is 'Chicago' deceptive? Towards Building Model-Driven Tutorials for Humans
Vivian Lai, Han Liu, Chenhao Tan
Conference on Human Factors in Computing Systems (CHI), 2020.