In this paper, we introduce R-NET, an end-to-end neural networks model for reading comprehension style question answering, which aims to answer questions from a given passage. We first match the ...
Aggregation-Based Ensemble Classifier Versus Neural Networks Models for Recognizing Phishing Attacks
Abstract: This contribution proposes a classifier designed to reduce the number of false positive detections. It is a self-tuning model, tested in the context of phishing link detection. In this ...
Abstract: The identification of key nodes in multilayer networks has garnered significant attention in recent years. However, existing approaches often neglect two critical aspects: overlapping ...
The emergence of large language models (LLMs) offers great promise for building domain-specific agents, but adapting them for network management remains challenging. To understand why, we conduct a ...
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