Research · Updated 19 Oct, 02:18 am IST
HybridReasoning Agents blend latent thinking with text-based actions
Why it matters for readers: It explains how an AI can 'think' privately in a compact form and still act through normal language you can read.
- HybridAgent uses a lightweight HybridLink to transition between latent and text modes during a unified generation process.1
- A continuous working memory preserves lossless hybrid context across multiple turns, making latent thoughts inspectable.1
- Post-training algorithms HybridSFT and HybridRL are developed to stabilize tool-integrated hybrid generation and learn when to think in latent space versus act in text.1
- Across three model scales and 11 benchmarks covering math, science, medicine, search, and agentic reasoning, the approach improves performance by 10.4% and reduces token use by 35.5%–54.7%.1
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