Hybrid reasoning agents think in latent space and act in text
Researchers including James Zou propose agents that switch between latent reasoning and text-based tool use within one generation, keeping latent thoughts inspectable. Across 11 benchmarks at three model scales they report scores 10.4% above frontier agent frameworks, with 35-55% fewer tokens and 1.8 to 2.6 times faster inference.
arXiv