Author

Zhen-Guo Li

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#artificial intelligence Preprint Sep 2026

Token-Disentangled Latent Test-Time Scaling for Vision-Language Reasoning

This work presents Token-Disentangled Latent Test-Time Scaling, an inference-time framework that makes latent refinement token-role-aware and outperforms strong output-space test-time scaling baselines under matched decoded-candidate budgets.

Hao-Xuan Ma, Yi-Hao Liu, Yu-Tao Sun et al. · 0 citations

#machine learning Jun 2025

Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture

It is shown decoder-only MDMs, despite a larger modeling space, can achieve significant inference speedups and comparable perplexity with techniques like temperature annealing, offering a path to reduced inference compute.

Shuchen Xue, Tianyu Xie, Tianyang Hu et al. · arXiv.org · 17 citations · ⚡1