Multilingual Hallucination Gaps in Large Language Models

no code implementations • 23 Oct 2024 • Cléa Chataigner, Afaf Taïk, Golnoosh Farnadi

In this study, we explore the phenomenon of hallucinations across multiple languages in freeform text generation, focusing on what we call multilingual hallucination gaps.

Hallucination Text Generation

Fairness Incentives in Response to Unfair Dynamic Pricing

no code implementations • 22 Apr 2024 • Jesse Thibodeau, Hadi Nekoei, Afaf Taïk, Janarthanan Rajendran, Golnoosh Farnadi

We find that, upon deploying a learned tax and redistribution policy, social welfare improves on that of the fairness-agnostic baseline, and approaches that of the analytically optimal fairness-aware baseline for the multi-armed and contextual bandit settings, and surpassing it by 13. 19% in the full RL setting.

Fairness Reinforcement Learning (RL)

Federated Edge Learning : Design Issues and Challenges

no code implementations • 31 Aug 2020 • Afaf Taïk, Soumaya Cherkaoui

The design of FEEL algorithms for resources-efficient learning raises several challenges.

Federated Learning Scheduling