Hybrid Reasoning Agents: LLM agents that think in latent space, act through text
Introduces novel architecture for efficient agent reasoning with direct implications for ML model design and optimization.
AI Summary
Researchers propose Hybrid Reasoning Agents that combine latent reasoning with text-based interaction, achieving 10.4% performance gains and 35-55% reduction.
