New benchmarks show semantic code graphs helping coding agents find change locations faster and complete updates more ...
Abstract: Flow matching is a recent framework to train generative models that exhibits impressive empirical performance while being relatively easier to train compared with diffusion-based models.
Abstract: Real-world point clouds exhibit non-uniform density distributions, varying across distance and scale. Conventional upsampling methods typically treat points homogeneously, which over-smooths ...
Entity matching (EM) aims to identify whether two entities from different data sources refer to the same real-world entity. Most existing cross-modal EM assume that images have simple scenes ...
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