Papers by Yangryeol Park

1 papers
PURE: Post-hoc Unlocking and REfinement for Discrete Diffusion Decoding (2026.findings-acl)

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Challenge: Masked diffusion language models (MDLMs) are limited by a monotonic unmasking policy, where committed tokens cannot be revised.
Approach: They propose a training-free inference algorithm for two-phase decoding that unlocks unstable regions through deterministic window masking and stochastic leftward relaxation.
Outcome: The proposed algorithm significantly improves accuracy on reasoning benchmarks on GSM8K.

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