Cascade world-action models (WAMs) use predicted visual futures to condition robot actions, but inherit costly iterative inference from diffusion-pretrained experts. We ask what a single-step predicted future must preserve to support accurate single-step action prediction. In the evaluated WAM, resampling video noise h...
Shao-Yi Zheng, Zhong-Tao Jiang, Yue Peng et al.· 0 citations
NovelAPIBench is presented, an automated diagnostic framework that builds benchmarks around the API knowledge gaps of a target model, identifies novel APIs, generates executable coding tasks with separately controllable knowledge components, and classifies failures into six categories.
Jin-Nuo Liu, Yue Peng, Jin-Hang Niu et al.· 0 citations
EvoGenUI-Bench is introduced, a benchmark for multi-turn interface maintenance comprising 150 five-turn tasks and 750 turns across three scenarios: information presentation, executable interaction, and tool-grounded external state.
Yue Peng, Lan-Ke Xia, Zi-Han Wang et al.· 1 citation
Temporally Conditioned Memory-Fusion Policies (TFP), a lightweight memory-action framework for VLA backbones, is introduced and suggests that compact, event-sensitive memory dynamics can improve VLA policies under occlusion, visual perturbation, and stage-dependent task structure.
Yushen Liang, Yue Peng, Baosheng Jin et al.· arXiv.org· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.