Author

Zhong-Jiang He

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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. · Vicinagearth · 0 citations

#natural language process... Preprint Aug 2026

Learning When Not to Listen: Selective Anti-Interference Pretraining for Language Models

Language models can over-condition on irrelevant preceding text: predictions already supported by local context may still change when distant, unrelated prefix tokens are perturbed. This interference is especially consequential in long, packed, or distractor-heavy contexts, where useful evidence and irrelevant spans co...

Jin-Chang Zhu, Hao-Lan He, Yi-Cheng Ding et al. · 0 citations