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Found 4 papers, 2 papers with code
Towards Faster Graph Partitioning via Pre-training and Inductive Inference
Graph partitioning (GP) is a classic problem that divides the node set of a graph into densely-connected blocks.
Unlocking Adversarial Suffix Optimization Without Affirmative Phrases: Efficient Black-box Jailbreaking via LLM as Optimizer
Moreover, ECLIPSE is on par with template-based methods in ASR while offering superior attack efficiency, reducing the average attack overhead by 83%.
Efficient DNN-Powered Software with Fair Sparse Models
With the emergence of the Software 3. 0 era, there is a growing trend of compressing and integrating large models into software systems, with significant societal implications.
A Survey of Deep Learning Library Testing Methods
This paper provides an overview of the testing research related to various DL libraries, discusses the strengths and weaknesses of existing methods, and provides guidance and reference for the application of the DL library.
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