Towards Efficient Reasoning: Learning Causal Shortcuts for Diffusion Language Models
Diffusion Language Models (DLMs) have attracted significant attention for their strong reasoning ability. However, under a bidirectional attention mechanism, DLMs operate over an exponentially large exploration space compared to autoregressive models (ARMs), making it challenging to focus on reasoning-guiding tokens un...
Dian Jin, Kai-Rong Han, Bao-Hong Li et al.
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