We envision" AI scientists" as systems capable of skeptical learning and reasoning that
empower biomedical research through collaborative agents that integrate AI models and …

The rapid development of large language models (LLMs) has opened new avenues across
various fields, including cybersecurity, which faces an evolving threat landscape and …

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 …

Large language models (LLMs) have become the state of the art in natural language
processing. The massive adoption of generative LLMs and the capabilities they have shown …

Large language models (LLMs) have broad medical knowledge and can reason about
medical information across many domains, holding promising potential for diverse medical …

LLMs have demonstrated strong capabilities in generating human-like text and
understanding complex linguistic patterns; however, they are prone to generating …

Information Retrieval (IR) systems are crucial tools for users to access information, widely
applied in scenarios like search engines, question answering, and recommendation …

The rapid adoption of large language models (LLMs) in multi-agent systems has highlighted
their impressive capabilities in various applications, such as collaborative problem-solving …

Real-time learning concerns the ability of learning systems to acquire knowledge over time,
enabling their adaptation and generalization to novel tasks. It is a critical ability for …

Large Language Models (LLMs) are pre-trained on large-scale corpora and excel in
numerous general natural language processing (NLP) tasks, such as question answering …