TT-VidT leads Jester, Something-Something V2, ARID, and Diving48 fine-tuning simultaneously, improving over the strongest non-TT row by 54% ~ 121%, while using 48% fewer encoder FLOPs than DisMo and 55% fewer than VideoMAE or V-JEPA2.
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.· 1 citation
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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