Abstract: Pre-trained code models are essential for various code intelligence tasks. Yet, their effectiveness is heavily influenced by the quality of the pre-training dataset, particularly ...
UniPre3D is the first unified pre-training method for 3D point clouds that effectively handles both object- and scene-level data through cross-modal Gaussian splatting. Our proposed pre-training task ...
Abstract: With the increasing availability of computational and data resources, numerous powerful pre-trained language models (PLMs) have emerged for natural language processing tasks. However, how to ...
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