Vision-language-action (VLA) models struggle to reuse recurring interactions in unseen tasks. Our diagnostic study reveals that reliable task completion does not imply consistent execution of constituent atomic actions across task contexts. We present LexiconVLA, a retrievable atomic-action lexicon for cross-task reuse...
Zeming Wei, Jian-Heng Ye, Xin-Shuai Song et al.· 0 citations
Feed-forward models regress dense 3D point trajectories directly from monocular video, yet the residual after global alignment is substantial and lacks a structural explanation. Measured on dynamic query points across models and datasets, the error concentrates along the view direction, while the scale correction each...
Zhuo-Qi Feng, Wei-Xing Chen, Zi-Zhao Chen et al.· 0 citations
Findings indicate that strong perception alone does not ensure reliable physical interpretation, exposing a distinct grounding bottleneck that is largely hidden by answer-level accuracy and highlighting the need for future models to better align recognized visual evidence with its physical meaning.
Ke-Cheng Liang, Hao Liu, Ze-Xin Chen et al.· 0 citations
World models are moving from generating realistic frames to generating playable worlds, yet whether a delivered world can keep running is not tested anywhere. Existing evaluations stop at generation, at delivery, or at single-step transitions, and each stops at a different point along the way. Correct local state trans...
Wei-Xing Chen, Wei-Peng Zhang, Nan An et al.· 0 citations
This work presents PhyAgentOS, a runtime foundation delivering scheduling, verification, memory, benchmarking, and safety as system-level services, and distinguishes execution termination from semantic task completion via evidence-grounded verdicts of success, failure, or replan.
Yang Liu, Weixing Chen, Xinshuai Song et al.· arXiv.org· 2 citations
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