AgentBreeder: Mitigating the AI Safety Impact of Multi-Agent Scaffolds

J Rosser, JN Foerster - arxiv preprint arxiv:2502.00757, 2025 - arxiv.org
Scaffolding Large Language Models (LLMs) into multi-agent systems often improves
performance on complex tasks, but the safety impact of such scaffolds has not been as …

Self-Improving Foundation Models Without Human Supervision

A Setlur, K Kang, A Kumar, F Behbahani… - ICLR 2025 Workshop … - openreview.net
As foundation models (FMs) scale, they face a data bottleneck, where the growth of high-
quality internet data unable to keep pace with their training needs. This is most apparent …