Introduction Map** the interactions between pharmaceutical compounds and their
molecular targets is a fundamental aspect of drug discovery and repurposing. Drug-target …

Large language models (LLMs) have demonstrated remarkable advancements, primarily
due to their capabilities in modeling the hidden relationships within text sequences. This …

Large-scale" pre-train and prompt learning" paradigms have demonstrated remarkable
adaptability, enabling broad applications across diverse domains such as question …

Emerging topics in biomedical research are continuously expanding, providing a wealth of
information about genes and their function. This rapid proliferation of knowledge presents …

The rapid advancement of large language models (LLMs) in biological-medical applications
has highlighted a gap between their potential and the limited scale and often low quality of …

Traditional education is considered incapable of providing prompt feedback, facilitating
proactive learning, and giving indiscriminate responses. This has been observed in both in …

KV cache is a widely used acceleration technique for large language models (LLMs)
inference. However, its memory requirement grows rapidly with input length. Previous …

The acquisition of cybersecurity threat intelligence is a critical task in the implementation of
effective security defense strategies. Recently, advancements in large language model …

Although rapid advancements in Large Language Models (LLMs) are facilitating the
integration of artificial intelligence-based applications and services in healthcare, limited …

Large Language Models (LLMs) have revolutionized various fields, and their applications in
biomedicine and healthcare have shown transformative potential. These models, trained on …