Latent Agents: A Post-Training Procedure for Internalized Multi-Agent Debate

Researchers introduced Latent Agents, a post-training method enabling internalized multi-agent debate within neural networks. The procedure allows models to simulate debate internally without external agents. It was developed by John Seon Keun Yi and two co-authors. The work is published on arXiv with DOI pending registration.