Author

Zhe Zeng

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Preprint Oct 2026

Learning to Couple: Context-Adaptive Joint Denoising for Diffusion Language Models

Diffusion language models accelerate generation by predicting multiple tokens in parallel, but factorized denoisers treat simultaneous predictions as conditionally independent. Decoding heuristics reduce the resulting errors by controlling which tokens are committed, but leave the underlying distribution factorized. Jo...

Zi-Lei Shao, Ian Li, Heng Zhao et al. · 0 citations

Entropy-Guided LLM Decoding via Probabilistic Circuits

This work argues that future entropy is also essential for LLM decoding, and estimates its lower and upper bounds by computing the lower and upper bounds on a hidden Markov model (HMM), which is distilled as a surrogate of the LLM.

Zhizhen Chen, Daniel Mingyi Israel, Guy Van den Broeck et al. · 0 citations