Hybrid Reasoning Agents: LLM agents that think in latent space, act through text
Why CEREBRO kept it
Latent-space reasoning agents, novel agentic pattern
The text below is an automated extraction of the article at https://arxiv.org/abs/2610.18861, stored verbatim in the public cerebro-vault repository. Copyright remains with the original publisher (arxiv.org).
Computer Science > Computation and Language [Submitted on 13 Oct 2026] Title:Hybrid Reasoning Agents View PDF HTML (experimental) Abstract:How can we build an agent that thinks beyond human language, yet still acts through it in the external environment? Modern LLM agents still reason and interact through text, while latent reasoning offers an efficient internal medium but lacks native tool access and reasoning transparency. We bridge these two directions with Hybrid Reasoning Agents (HybridAgents), which dynamically navigate between latent reasoning and text-based interactio
Community take
Top question is whether latent reasoning gains accuracy or only cuts tokens and latency, with the arXiv evals and code repo linked as the answer, and others joke it is the 'Most Forbidden Technique' because hidden latent reasoning is harder to monitor.
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