Comparisons in video self-supervised learning often evaluate complete training recipes rather than isolating the method itself: architecture, objective, data exposure, schedule, scale, and decoder capacity can all vary at once. This makes it hard to identify which choices yield motion-prioritized representations, whose...
Shih-Ying Yeh, Daniel Z. Kaplan, Xue-Hai Wang et al.· 0 citations
EM^2Mem is proposed, an event-centric multimodal memory framework that binds heterogeneous evidence to event anchors during memory construction, enabling compact evidence readout over grounded multimodal events rather than modality-specific fragments.
Yijun Chen, Yangfan Zheng, Yanyang Li et al.· 0 citations
AutoSciRub is presented, an evaluation-first framework that induces a task-specific executable rubric before research execution and uses it to guide execution, criterion-level verification as well as iterative revision.
Xue-Hai Wang, Hao-Wei Qin, Tong-Xin Liu et al.· 0 citations
TokenPilot is presented, a dual-granularity context management framework that reduces costs by 61% and 56% in isolated mode, and 61% and 87% in continuous mode, while maintaining competitive performance compared to prior systems.
Buqiang Xu, Z. Xue, Dian Chen et al.· arXiv.org· 1 citation
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