Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …

Abstract Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized
natural language understanding and generation. They possess deep language …

This systematic literature review comprehensively examines the application of Large
Language Models (LLMs) in forecasting and anomaly detection, highlighting the current …

Binary code representation learning has shown significant performance in binary analysis
tasks. But existing solutions often have poor transferability, particularly in few-shot and zero …

Music recommendation for videos attracts growing interest in multi-modal research.
However existing systems focus primarily on content compatibility often ignoring the users' …

In today's digital era, the security of networked systems is of utmost importance amidst the
increasing prevalence of cyber threats and sophisticated intrusion techniques. This paper …

The rampant occurrence of cybersecurity breaches imposes substantial limitations on the
progress of network infrastructures, leading to compromised data, financial losses, potential …

Federated Learning (FL) is a distributed machine learning paradigm that allows clients to
train models on their data while preserving their privacy. FL algorithms, such as Federated …

Code comments are crucial for program comprehension, and the automated generation of
comments greatly enhances the efficiency of code commenting. Statement-level code …

Visually impaired individuals face substantial challenges in kitchens, where identifying
objects accurately is crucial yet difficult due to the complexity and variability of the …