Ranking Large Language Models without Ground Truth
- 2024
- ACL 2024
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50 results for Moninder Singh
SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models
- Manish Nagireddy
- Lamogha Chiazor
- et al.
- 2024
- AAAI 2024
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations
- Swapnaja Achintalwar
- Ioana Baldini
- et al.
- 2024
- IEEE Internet Computing
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
- Dennis Wei
- Rahul Nair
- et al.
- 2022
- NeurIPS 2022
Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations
- Hammaad Adam
- Ming Ying Yang
- et al.
- 2022
- AIES 2022
AI Explainability 360: Impact and Design
- 2022
- IAAI 2022
Your Fairness May Vary: Pretrained Language Model Fairness in Toxic Text Classification
- Ioana Baldini Soares
- Dennis Wei
- et al.
- 2022
- ACL 2022
Ground-Truth, Whose Truth? - Examining the Challenges with Annotating Toxic Text Datasets
- Kofi Arhin
- Ioana Baldini Soares
- et al.
- 2021
- NeurIPS 2021
One Explanation Does Not Fit All: A Toolkit And Taxonomy Of AI Explainability Techniques
- 2021
- INFORMS 2021
Introduction to Explainable AI
- Q. Vera Liao
- Moninder Singh
- et al.
- 2021
- CHI EA 2021