Deep Learning
New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
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DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection Xiao Y u 1,2, Y uang Qi
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Consequently, detecting whether a text is generated by LLMs has become increasingly important.
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Contrastive Training of Complex-Valued Autoencoders for Object Discovery
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Such slot-based approaches have several conceptual limitations.
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MakeSomeNoise: ReliableandEfficientSingle-Step AdversarialTraining
Neural Information Processing Systems
Deep neural networks have achieved remarkable performance on a variety of tasks [12, 27, 7].
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