Conceptual Diagnostics for Knowledge Graphs and Large Language Models
- Rosario Uceda-Sosa
- Maria Chang
- et al.
- 2025
- ACL 2025
Conference paper
Publications
51 results for Moninder Singh
Ranking Large Language Models without Ground Truth
- 2024
- ACL 2024
PaperSocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models
- Manish Nagireddy
- Lamogha Chiazor
- et al.
- 2024
- AAAI 2024
Conference paperAlignment Studio: Aligning Large Language Models to Particular Contextual Regulations
- Swapnaja Achintalwar
- Ioana Baldini
- et al.
- 2024
- IEEE Internet Computing
PaperOn the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
- Dennis Wei
- Rahul Nair
- et al.
- 2022
- NeurIPS 2022
Conference paperWrite 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
Conference paperAI Explainability 360: Impact and Design
- Vijay Arya
- Rachel K. E. Bellamy
- et al.
- 2022
- IAAI 2022
Conference paperYour Fairness May Vary: Pretrained Language Model Fairness in Toxic Text Classification
- Ioana Baldini Soares
- Dennis Wei
- et al.
- 2022
- ACL 2022
PaperGround-Truth, Whose Truth? - Examining the Challenges with Annotating Toxic Text Datasets
- Kofi Arhin
- Ioana Baldini Soares
- et al.
- 2021
- NeurIPS 2021
Workshop paperOne Explanation Does Not Fit All: A Toolkit And Taxonomy Of AI Explainability Techniques
- Vijay Arya
- Rachel K. Bellamy
- et al.
- 2021
- INFORMS 2021
Talk