Alan-Barsag Gazzaev

Diffusion language model agents can pass compressed denoising states to each other without decoding text first. A sender packs its hidden state into four signed dense vectors, and the receiver keeps its own context and trajectory while denoising. On QASC, matched messages raise accuracy from 72.6% to 80.8%, a message from another question drops it to 46.8%, and one late transfer reaches 87.8%, 7.0 points above four recurrent exchanges.

Diffusion language model agents can pass compressed denoising states to each other without decoding text first. A sender packs its hidden state into four signed dense vectors, and the receiver keeps its own context and trajectory while denoising. On QASC, matched messages raise accuracy from 72.6% to 80.8%, a message from another question drops it to 46.8%, and one late transfer reaches 87.8%, 7.0 points above four recurrent exchanges.