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Answer Is Cheap, Show Me the Evidence! Augmenting Automated Vulnerability Assessment with Evidence
This work proposes EAVA, a novel framework that effectively leverages LLMs to perform SV assessment and provide supporting evidence and enables large-scale reasoning trajectory annotation using off-the-shelf LLMs and adopts a two-stage training paradigm.
Unleashing the Power of Equality Saturation for Tensor Program Superoptimization
Efficient GPU implementations of tensor programs often require joint optimization of high-level algebraic formulations and low-level execution strategies. However, the resulting search space grows rapidly as transformations combine across operators, making joint optimization difficult to scale. We present EqiForge, a t...