Maximilian Baader

Data contamination in language models poses serious trust issues for evaluations.

A novel approach enhances data recovery while addressing privacy concerns in federated learning.

Research shows vulnerabilities in federated learning's approach to text privacy.

Introducing a method to evaluate model resilience against data poisoning attacks.

This article discusses a new rating system for evaluating language models more fairly.