Hybrid Reasoning Agents

Key points

• How can we build an agent that thinks beyond human language, yet still acts through it in the external environment?1
• Building on this architecture, we further develop dedicated post-training algorithms for hybrid reasoning: HybridSFT stabilizes tool-integrated hybrid generation by teaching the backbone to coordinate with HybridLink, then HybridRL scales reasoning by learning when to think in latent space and when to act through text.1
• We evaluate HybridAgent at 3 model scales across 11 benchmarks covering mathematics, science, medicine, search, and agentic reasoning.1
• mod here, paper link: [2610.18861] Hybrid Reasoning Agents2

Sources (5)

• [1]Hybrid Reasoning Agents
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 13, 05:59 PM

  We bridge these two directions with Hybrid Reasoning Agents (HybridAgents), which dynamically navigate between latent reasoning and text-based interaction throughout a unified generation process.

  How can we build an agent that thinks beyond human language, yet still acts through it in the external environment?

• [2]New paper from Stanford, Together AI, UIUC, and Meta introduces Hybrid Reasoning Agents. These AI models think mostly in a hidden internal way (faster and cheaper), and only use normal text when they need tools or give the final answer.
  r/LocalLLaMA (top, daily) · Oct 16, 07:58 AM

  mod here, paper link: [2610.18861] Hybrid Reasoning Agents

• [3]Hybrid Reasoning Agents
  Hugging Face Daily Papers · Oct 13, 12:00 AM · same content
• [4]Hybrid Reasoning Agents: LLM agents that think in latent space, act through text
  Hacker News: LLM threads (40+ points) · Oct 18, 08:48 PM · same content
• [5]Hybrid Reasoning Agents: LLM agents that think in latent space, act through text
  Hacker News (AI, 100+ points) · Oct 18, 08:48 PM · same content

Extractive summary: sentences quoted from the sources.