StateBridge enables AI agents to communicate directly in latent space
TheTuringPost · x · 2026-08-15
Researchers from the University of Sheffield introduce StateBridge, a training-free latent communication method that allows LLM-based multi-agent systems to bypass text conversion and communicate directly via hidden states.
Core Mechanism:
- Aligns the sender's final-layer hidden states to the receiver's input space via a closed-form orthogonal transformation.
- Uses lightweight norm calibration and vocabulary anchoring for compatibility.
- Prepends aligned states as a continuous prefix to the receiver's input.
Performance: StateBridge achieves the best or tied-best score on 22 out of 26 model-task pairs across math reasoning, code generation, and QA benchmarks, consistently outperforming the strongest baselines.
Related event: StateBridge Enables Latent Space Communication(2 posts)→
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