Feb. 27, 2024, 5:44 a.m. | Run Shao, Cheng Yang, Qiujun Li, Qing Zhu, Yongjun Zhang, YanSheng Li, Yu Liu, Yong Tang, Dapeng Liu, Shizhong Yang, Haifeng Li

cs.LG updates on arXiv.org arxiv.org

arXiv:2401.00546v2 Announce Type: replace-cross
Abstract: For a long time, due to the high heterogeneity in structure and semantics among various spatiotemporal modal data, the joint interpretation of multimodal spatiotemporal data has been an extremely challenging problem. The primary challenge resides in striking a trade-off between the cohesion and autonomy of diverse modalities, and this trade-off exhibits a progressively nonlinear nature as the number of modalities expands. We introduce the Language as Reference Framework (LaRF), a fundamental principle for constructing a …

abstract arxiv autonomy challenge cs.ai cs.lg data general intelligence interpretation modal multimodal semantics temporal trade trade-off type

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