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
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
EmbodiedSkills is a unified framework that treats each skill decision as an execution proposal: the runtime checks its prerequisites before execution and verifies the outcome afterward and provides a trainable and inspectable agent layer for turning low-level VLA policies into closed-loop embodied systems.
Wei Wang, Wen-Qiao Zhang, Yu-Tong Lin et al.· 3 citations
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