Large language models (LLMs) have found applications in diverse industries, automating tasks and enhancing decision-making. However, when applied to specialized…
Machine Learning
Graph Neural Networks GNNs have become a powerful tool for analyzing graph-structured data, with applications ranging from social networks and…
AI agents have become an integral part of modern industries, automating tasks and simulating complex systems. Despite their potential, managing…
Generative language models face persistent challenges when transitioning from training to practical application. One significant difficulty lies in aligning these…
Large Language Models (LLMs) and Vision Language Models (VLMs) have revolutionized the automation of mobile device control through natural language…
Spatial-temporal data handling involves the analysis of information gathered over time and space, often through sensors. Such data is crucial…
In the ever-evolving landscape of artificial intelligence, the year 2025 has brought forth a treasure trove of educational resources for…
Recommendation systems are essential for connecting users with relevant content, products, or services. Dense retrieval methods have been a mainstay…
Data mining is vital for uncovering meaningful patterns and relationships within large datasets. These insights enable informed decision-making across diverse…
Large language models (LLMs) have become pivotal tools in tackling complex reasoning and problem-solving tasks. Among them, o1-like models, inspired…
Generative AI has revolutionized video synthesis, producing high-quality content with minimal human intervention. Multimodal frameworks combine the strengths of generative…
Text-to-audio generation has transformed how audio content is created, automating processes that traditionally required significant expertise and time. This technology…
Sequential recommendation systems play a key role in creating personalized user experiences across various platforms, but they also face persistent…
Federated learning has emerged as an approach for collaborative training among medical institutions while preserving data privacy. However, the non-IID…
Creating intelligent agents has traditionally been a complex task, often requiring significant technical expertise and time. Developers encounter challenges like…
Aligning large language models (LLMs) with human preferences is an essential task in artificial intelligence research. However, current reinforcement learning…
Vision Transformers (ViTs) have become a cornerstone in computer vision, offering strong performance and adaptability. However, their large size and…
Sepsis is a critical medical condition resulting from an abnormal immune response to infection, often causing organ dysfunction and high…
Medical artificial intelligence (AI) is full of promise but comes with its own set of challenges. Unlike straightforward mathematical problems,…
Retrieval-augmented generation (RAG) enhances the output of Large Language Models (LLMs) using external knowledge bases. These systems work by retrieving…