Author

Liang Liang

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Preprint Oct 2026

MMVistaReason: Toward Open-Data and Post-Training Recipes for Multimodal Reasoning

Open multimodal reasoning models have benefited from large-scale reasoning supervision, yet reliable post-training remains challenging due to uneven data quality, inefficient supervision construction, imbalanced difficulty, and cross-domain interference. We introduce MMVistaReason (MVR), an open-data post-training reci...

Jue-Kai Lin, Hong-Lin Lin, Yu-Qian Yuan et al. · 0 citations

#artificial intelligence Preprint Sep 2026

RoboSPA: Can VLA Models Go Beyond Simple Scenes and Short-Horizon Tasks?

A large-scale robotic manipulation dataset and benchmark for diagnosing embodied reasoning in VLA models, and establishes RoboSPA as a challenging diagnostic benchmark for developing more capable, reliable, and generalizable embodied agents.

Zhen-Xuan Fan, Bo Zhang, Yu-Tong Lin et al. · 0 citations