CaLR: Causal Latent Revision for Robust Diffusion Reasoning

## Computer Science > Artificial Intelligence

## Computer Science > Artificial Intelligence ## Title:CaLR: Causal Latent Revision for Robust Diffusion Reasoning > Abstract:Autoregressive (AR) models suffer from local greediness, while diffusion language models (DLMs) often lack the strict causal structure required for reasoning. To combine the advantages and overcome the drawbacks of the dual, we propose Causal Latent Revision (CaLR), a framework that reformulates reasoning as constrained latent optimization. By adopting a causal topology matrix (CTM) from an expert model and implicit differentiation, CaLR performs gradient-guided…

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Источник: ArXiv cs.AI

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