Author

Wanqi Yin

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#artificial intelligence Preprint Sep 2026

Learning Native Reflection in Unified Models with Interleaved Reinforcement Learning

Unified multimodal models can both look at and render images, so in principle they can repair their own generations: diagnose what an image gets wrong, revise it, observe the result, and diagnose again. Whether a revision helps is known only after it is rendered, so the reflection text and the image generation must be...

Yi-Jia Fan, Zi-Qi Huang, Zhongang Cai et al. · 0 citations

#machine learning Preprint Aug 2026

VBVR-Pro: A Scalable and Verifiable Suite for Native Visual Reasoning

This work introduces VBVR-Pro, a closed-loop testbed that makes native visual reasoning through generation trainable, verifiable, optimizable, and experimentally controllable, and identifies recurring failure modes of the prevalent VLM-as-a-judge paradigm.

Junhua Xu, Rui-Si Wang, Fanyi Pu et al. · 2 citations