3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.AI2025
Interactional Fairness in LLM Multi-Agent Systems: An Evaluation Framework
Ruta Binkyte
As large language models (LLMs) are increasingly used in multi-agent systems, questions of fairness should extend beyond resource distribution and procedural design to include the…
cs.LG2023
Dissecting Causal Biases
Rūta Binkytė, Sami Zhioua, Yassine Turki
Accurately measuring discrimination in machine learning-based automated decision systems is required to address the vital issue of fairness between subpopulations and/or individual…
cs.LG2023★ 3 cited
Shedding light on underrepresentation and Sampling Bias in machine learning
Sami Zhioua, Rūta Binkytė
Accurately measuring discrimination is crucial to faithfully assessing fairness of trained machine learning (ML) models. Any bias in measuring discrimination leads to either amplif…