June 11, 2024, 4:41 a.m. | Sai Munikoti, Ian Stewart, Sameera Horawalavithana, Henry Kvinge, Tegan Emerson, Sandra E Thompson, Karl Pazdernik

cs.CL updates on arXiv.org arxiv.org

arXiv:2406.05496v1 Announce Type: new
Abstract: Multimodal models are expected to be a critical component to future advances in artificial intelligence. This field is starting to grow rapidly with a surge of new design elements motivated by the success of foundation models in natural language processing (NLP) and vision. It is widely hoped that further extending the foundation models to multiple modalities (e.g., text, image, video, sensor, time series, graph, etc.) will ultimately lead to generalist multimodal models, i.e. one model …

abstract advances architectures artificial artificial intelligence arxiv challenges cs.cl design elements foundation future intelligence language language processing multimodal multimodal ai multimodal models natural natural language natural language processing nlp opportunities processing review success type vision

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