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Xiao-Mei Wang

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#artificial intelligence Preprint Sep 2026

LLaDA-UI: Bringing Block-wise Diffusion to Vision-Language GUI Agents

Diffusion large language models (dLLMs) achieve high decoding efficiency through block-parallel, arbitrary-order generation, making them attractive for latency-sensitive applications. GUI agents represent a natural testbed for this paradigm, as they must repeatedly perceive screen states and emit structured, spatially...

Zhangxuan Gu, Hao-Xin Chen, Qiujieli Qin et al. · 0 citations
#artificial intelligence Preprint Sep 2026

LLaDA-Image: Building Strong Image Generators with Fully Open Training Recipes

We introduce LLaDA-Image, a unified framework that pairs a 6B Diffusion Transformer (DiT) trained from scratch with a frozen vision-language understanding module built on the LLaDA2.0-Mini diffusion language model backbone. Instead of relying heavily on paired image-text data from the beginning, we first build a strong...

Chu-Yan Chen, Hao-Xin Chen, Kun Chen et al. · 1 citation

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