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DCGC: Draft-Conditioned Global Correction for Complex Reasoning with Masked Diffusion Models
Correcting flawed reasoning traces remains a significant challenge for Large Language Models (LLMs), whose autoregressive generation can propagate early mistakes into subsequent reasoning. We introduce DCGC, a Masked Diffusion Model (MDM) framework for global correction that uses an imperfect soluti
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