While standard end-to-end baselines struggle to complete these logically demanding tasks, ACE achieves a 50% success rate in equation formation and a 70% success rate in constraint retrieval, demonstrating that explicit workflow reasoning and mask-mediated control offer a robust, practical route toward adaptable roboti...
Iok Tong Lei, Qianzhi Li, Ying Jie Yap et al.· arXiv.org· 0 citations
XS-VLA is introduced, a lightweight framework that teaches tiny VLA policies "where to look" and "how to move" without increasing deployment-time model cost and shows that explicit spatial grounding and latent action-structure learning can make tiny VLA models effective for robotic manipulation.
Iok Tong Lei, Ying Jie Yap, Wei Huang et al.· 0 citations
LigBench is proposed, an automated evaluation benchmark that enables fine-grained and reliable evaluation of AI research ideas, consistently applicable across different generation distributions, and PAIR-IQ, a dataset tailored for training pairwise idea judgment models and serving as an auxiliary reference to support m...
Chen-Run Wang, Mingxuan Zhu, Tian-Cheng Huang et al.· 1 citation
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