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Rui-Shan Fang

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#machine learning Preprint Sep 2026

Long-Horizon Scaling: How Model Capabilities Shape the Returns to Computation

Long-horizon agents improve solutions through sustained interaction, execution, and task feedback. Scaling studies relate performance to resources and capabilities, yet how existing capabilities shape returns to extended interaction remains less understood. To address this gap, we analyze AutoLab and EdgeBench, two lon...

Hao-Yu Zheng, Zheng-Yu Chen, Huai-Sheng Zhu 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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