Latent Agents enables internalized multi-agent debate within a single LLM post-training. This method allows a model to generate diverse reasoning pathways and counterarguments internally, improving its ability to address complex problems without external prompting or multiple model calls. The research offers a novel approach to enhance LLM reasoning and problem-solving capabilities by simulating internal deliberation.
Opening Kapyn…