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.
Fight Back Against Jailbreaking via Prompt Adversarial Tuning Yichuan Mo1Y uji Wang 2 Zeming Wei 3 Yisen Wang 1,4 1
Neural Information Processing Systems
While Large Language Models (LLMs) have achieved tremendous success in various applications, they are also susceptible to jailbreaking attacks.
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MO-DDN: A Coarse-to-Fine Attribute-based Exploration Agent for Multi-object Demand-driven Navigation
Neural Information Processing Systems
The process of satisfying daily demands is a fundamental aspect of humans' daily
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A Evaluation Tasks 450 Table 4 lists the tasks in our evaluation, and examples from each task
Neural Information Processing Systems
Add a small icon before the "Welcome to our ice cream parlor!" text using the URL https://cdn-556
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SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction Zhihao Y u
Neural Information Processing Systems
Electronic health record (EHR) data has emerged as a valuable resource for analyzing patient health status.
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