Presents D3IM sampler and SCOPE post-training that enable visible-token revision in masked diffusion LMs, reporting double-digit gains on GSM8K and HumanEval for LLaDA-8B.
arXiv preprint arXiv:2602.01362 , year=
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Adapting LLaDA-8B-Instruct via Discrete Stochastic Localization with continuous per-token Gaussian noise yields continuous denoising that achieves top ROUGE-1 on zero-shot summarization at low step budgets and adds selective noisy-state robustness.
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Revise, Don't Freeze: Sampler-Matched Training for Self-Correcting Masked Diffusion Language Models
Presents D3IM sampler and SCOPE post-training that enable visible-token revision in masked diffusion LMs, reporting double-digit gains on GSM8K and HumanEval for LLaDA-8B.
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DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs
Adapting LLaDA-8B-Instruct via Discrete Stochastic Localization with continuous per-token Gaussian noise yields continuous denoising that achieves top ROUGE-1 on zero-shot summarization at low step budgets and adds selective noisy-state robustness.