TraceLock learns a reusable token-commitment policy for diffusion LLMs via self-supervision on future stability, improving quality-step tradeoffs and generalizing across generation lengths without retraining.
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The Path Matters: Learning a Token-Commitment Policy for Diffusion Language Models
TraceLock learns a reusable token-commitment policy for diffusion LLMs via self-supervision on future stability, improving quality-step tradeoffs and generalizing across generation lengths without retraining.