Author

Xing-Yao Zhang

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#small language model Preprint Oct 2026

HiLo-RD: Cross-Budget Self-Distillation for Masked Diffusion Language Models

We propose HiLo-RD (High-to-Low Budget Representation Distillation) to improve masked diffusion language models (MDLMs) under a limited generation budget. Unlike autoregressive models, MDLMs choose both what to generate and where to commit it. This creates two coupled challenges: predicting useful content before reason...

Xiang Li, Cheng-Ting Yu, Jun-Gang Li et al. · 0 citations

Sep 2026

HappyWorld-Bench

HappyWorld-Bench is introduced, a comprehensive benchmark that evaluates whether generated worlds remain reliable as agents interact with them, and highlights the need to evaluate world models not only by visual quality, but also by state consistency and the correctness of their responses to actions and interventions.

Zhi-Qi Bai, Ju-Nai Cai, Yi-Xin Chen et al. · arXiv.org · 0 citations