Investigating Explainability of Generative AI for Code through Scenario-based Design
- Jiao Sun
- Q. Vera Liao
- et al.
- 2022
- IUI 2022
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33 results for Q. Vera Liao
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models
- Soya Park
- April Yi Wang
- et al.
- 2021
- IUI 2021
AI Explainability 360 Toolkit
- Vijay Arya
- Rachel Bellamy
- et al.
- 2021
- CODS-COMAD 2021
Responsible Language Technologies: Foreseeing and Mitigating Harms
- Su Lin Blodgett
- Q. Vera Liao
- et al.
- 2022
- CHI EA 2022
Uncertainty Quantification 360: A Hands-on Tutorial
- Soumya Ghosh
- Q. Vera Liao
- et al.
- 2022
- CODS-COMAD 2022
Introduction to AI Fairness
- Yunfeng Zhang
- Rachel Bellamy
- et al.
- 2021
- CHI EA 2021
Introduction to Explainable AI
- Q. Vera Liao
- Moninder Singh
- et al.
- 2021
- CHI EA 2021
Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML
- Shweta Narkar
- Yunfeng Zhang
- et al.
- 2021
- IUI 2021
Agent Assist through Conversation Analysis
- Kshitij P. Fadnis
- Nathaniel Mills
- et al.
- 2020
- EMNLP 2020
Introduction to explainable AI
- Q. Vera Liao
- Moninder Singh
- et al.
- 2020
- CHI EA 2020