Preprint
Aug 2026
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems
This work proposes StateBridge, a training-free latent communication approach that aligns the sender's final-layer hidden states to the receiver's input space via a closed-form orthogonal transformation and prepended to the input of the receiver agent as a continuous prefix.
Yan-Wen Peng, Delvin Ce Zhang, Xi Wang et al.
· 3 citations