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Abstract: Neural code models (NCMs) have demonstrated extraordinary capabilities in code intelligence tasks. Meanwhile, the security of NCMs and NCMs-based systems has garnered increasing attention.

Abstract: In this study, we expand on a previously introduced method for computing the error statistics associated with estimating the time of arrival of a known ...

Large language model-based explainable recommendation (LLM-based ER) systems show promise in generating human-like explanations for recommendations. However, they face challenges in modeling user-item ...

We reduce storage requirements of 3D Gaussian Splatting while using a minimal number of primitives. First, we determine the distinct Gaussian from the near ones, minimizing redundancy without ...