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cs.LG2024★ 1 cited
Modality-Inconsistent Continual Learning of Multimodal Large Language Models
Weiguo Pian, Shijian Deng, Shentong Mo +3
In this paper, we introduce Modality-Inconsistent Continual Learning (MICL), a new continual learning scenario for Multimodal Large Language Models (MLLMs) that involves tasks with…
cs.LG2020★ 14 cited
Spatial-Temporal Dynamic Graph Attention Networks for Ride-hailing Demand Prediction
Weiguo Pian, Yingbo Wu, Xiangmou Qu +2
Ride-hailing demand prediction is an essential task in spatial-temporal data mining. Accurate Ride-hailing demand prediction can help to pre-allocate resources, improve vehicle uti…