Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models
PositiveArtificial Intelligence
A new framework called the Diffusion Chain of Lateral Thought (DCoLT) has been introduced to enhance the reasoning capabilities of diffusion language models. This innovative approach treats each step in the reverse diffusion process as a 'thinking' action, optimizing the reasoning path to improve the accuracy of final answers through outcome-based Reinforcement Learning. This development is significant as it represents a shift from traditional methods, potentially leading to more effective and nuanced AI reasoning.
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