Human Logical Order Isn't Always Optimal for Model Reasoning
furongh · x · 2026-07-06
A surprising discovery reveals that human logical sequences aren't always optimal for models. Pre-trained diffusion LMs might actually reason best by following a trajectory entirely different from human problem-solving. This points toward a new direction: pursuing "model-aware" thought ordering rather than strictly human-like CoTs.
Related event: ICML 2026 Paper SAS: Optimizing Thought Scheduling in Diffusion LMs(15 posts)→
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