Abstract The advent of Large Language Models (LLMs) in mental health applications has
opened new avenues for providing psychological support and interventions. These …

The progression of modern computing systems hinges significantly on advancements in chip
design, which in turn, are influenced by effective management strategies. This paper …

In the digital era, maintaining efficient and reliable network infrastructure is crucial for
organizational success. Network Load Balancing (NLB) plays a pivotal role in this context …

In recent years, the application of Large Language Models (LLMs) in healthcare has shown
significant promise in improving the accessibility and dissemination of medical knowledge …

In the technical battlefield of text classification, extracting key features and solving the
sparsity problem play a decisive role in improving the performance of classification results …

With the evolution of intelligent technology, especially in the field of natural language
processing, semantic analysis has become a powerful tool for studying users. It is good at …

Healthy eating apps have gained popularity as tools for promoting dietary improvements
and supporting behavior change. Despite their potential, maintaining user engagement and …

This study explores the enhancement of deductive reasoning capabilities in Large
Language Models (LLMs) through a strategic dual-agent framework. In this framework, one …

Abstract Natural Language Processing (NLP), specifically, has emerged as a vital weapon
against cybercrime, particularly for network log analysis. As network traffic grows ever more …

Cross-language natural language processing (NLP) presents numerous challenges due to
the wide array of linguistic structures and vocabulary found within each language. Transfer …