Recent Vision-Language-Action (VLA) models increasingly use natural-language instructions to condition autonomous driving behavior. Yet existing closed-loop benchmarks primarily measure route completion, safety, and rule compliance, leaving a fundamental question unresolved: does language actually determine which feasi...
Zi-Han You, Ze-Hua Fan, Wenqi Lyu et al.· 0 citations
This work introduces DynamicEnvPlan, a closed-loop framework for high-level planning in dynamic environments that extends embodied task execution with humanoid agents, high-level primitive skills, structured semantic memory, and controllable perturbations.
Experiments show that UI-Mate-27B sets a new open-weight state of the art on general computer-use benchmarks, substantially improving long-horizon reliability, and makes three contributions to an environment-grounded training stack with in-context demonstration learning.
Zihan Ding, Long-Xu Dou, Qixiao Gao et al.· 1 citation
Text-to-image diffusion models have achieved remarkable progress in image synthesis, but their potential misuse for generating unauthorized or harmful content has raised growing safety concerns. This has created an urgent need for safe diffusion-based image generation methods that can selectively suppress sensitive con...
Xiaoyu Geng, Shuaixiong Hui, Yuxin Wang et al.· IEEE Transactions on Image P...· 0 citations
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