SAS Acts Like Process Supervision Without Human Trajectories
furongh · x · 2026-07-06
SAS functions similarly to process supervision on diffusion language models, but without the need for human-written reasoning trajectories. Instead of just rewarding the final answer, it provides dense feedback across the entire unmasking trajectory. This allows the model to learn a native curriculum: locking in helpful components early while deferring ambiguous ones.
Related event: ICML 2026 Paper SAS: Optimizing Thought Scheduling in Diffusion LMs(15 posts)→
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