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Yong-Xiang Li

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Review Open access Sep 2026

An overview of discrete diffusion models in natural language processing

Discrete Diffusion Models (DDMs) have recently emerged as a promising paradigm for text generation, providing an alternative to the dominant autoregressive (AR) approach. Unlike AR models that rely on sequential decoding and suffer from exposure bias, DDMs operate in discrete token space through iterative denoising, en...

Yi-Xuan Li, Kai-Dong Yu, Shuang-Yong Song et al. · 0 citations
#machine learning Preprint Sep 2026

Quality Determines Direction, Length Shapes Magnitude: Length Control for Open-Ended Reinforcement Learning

Quality-Gated Length Advantage Shaping (QGLAS), which first computes advantages from quality rewards alone, then adds bounded bonuses only to shorter positive-advantage responses, leaving all other advantages unchanged, consistently achieves a stronger quality--length trade-off than representative baselines.

Zi-Jun Weng, Zhong-An Bi, Xuan-Ang Gao et al. · 0 citations

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