AI RESEARCH
Latent-DARM: Bridging Discrete Diffusion And Autoregressive Models For Reasoning
arXiv CS.AI
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ArXi:2603.09184v1 Announce Type: cross Most multi-agent systems rely exclusively on autoregressive language models (ARMs) that are based on sequential generation. Although effective for fluent text, ARMs limit global reasoning and plan revision. On the other hand, Discrete Diffusion Language Models (DDLMs) enable non-sequential, globally revisable generation and have shown strong planning capabilities, but their limited text fluency hinders direct collaboration with ARMs. We