For a long time, researchers have sought artificial intelligence (AI) that matches or exceeds
human intelligence. AI agents, which are artificial entities capable of sensing the …

This survey addresses the crucial issue of factuality in Large Language Models (LLMs). As
LLMs find applications across diverse domains, the reliability and accuracy of their outputs …

The rapid advancement of Large Language Models (LLMs) has opened up new
opportunities for leveraging artificial intelligence in various domains, including cybersecurity …

Generative AI (GenAI) represents a shift from AI's ability to “recognize” to its ability to
“generate” solutions for a wide range of tasks. As generated solutions and applications grow …

The burgeoning field of Large Language Models (LLMs), exemplified by sophisticated
models like OpenAI's ChatGPT, represents a significant advancement in artificial …

Large language models (LLMs) have demonstrated strong capabilities in various aspects.
However, when applying them to the highly specialized, safe-critical legal domain, it is …

Code completion serves as a fundamental aspect of modern software development,
improving developers' coding processes. Integrating code completion tools into an …

The availability of performant pre-trained models has led to a proliferation of fine-tuned
expert models that are specialized to a particular domain or task. Model MoErging methods …

Identifying anomalous human spatial trajectory patterns can indicate dynamic changes in
mobility behavior with applications in domains like infectious disease monitoring and elderly …

Large language models (LLMs) have achieved impressive performance on many natural
language processing tasks. However, their capabilities on graph-structured data remain …