3 papers
cs.AI2026
Attribution Bias in Large Language Models
Eliza Berman, Bella Chang, Daniel B. Neill +1
As Large Language Models (LLMs) are increasingly used to support search and information retrieval, it is critical that they accurately attribute content to its original authors. In…
cs.LG2025
Learning Representational Disparities
Pavan Ravishankar, Rushabh Shah, Daniel B. Neill
We propose a fair machine learning algorithm to model interpretable differences between observed and desired human decision-making, with the latter aimed at reducing disparity in a…
cs.CY2025
Be Intentional About Fairness!: Fairness, Size, and Multiplicity in the Rashomon Set
Gordon Dai, Pavan Ravishankar, Rachel Yuan +2
When selecting a model from a set of equally performant models, how much unfairness can you really reduce? Is it important to be intentional about fairness when choosing among this…