Advancements in large language models (LLMs) have been witnessed across various domains, such as translation, healthcare, and code generation. These models have shown exceptional capabilities in understanding and generating human-like text. Despite their success, the...

Researchers from the Peking University and Alibaba Group introduced FastV to address the challenges caused by inefficient attention computation in Large Vision-Language Models (LVLMs). Existing models such as LLaVA-1.5 and Video-LLaVA have shown significant...

In the age where artificial intelligence (AI) pervades every aspect of our lives, from aiding in educational endeavors to informing crucial decisions in healthcare and justice, the mirroring and amplification of human biases by language models pose a significant...

Idiopathic Pulmonary Fibrosis (IPF) and renal fibrosis present significant challenges in drug development due to their complex pathogenesis and lack of effective treatments. Despite extensive research, potential drug targets, such as TGF-β signaling pathways, have not...

The demand for advanced, scalable, and versatile tools is ever-growing in software development. Developers constantly seek efficient ways to handle complex tasks such as reasoning, summarization, and multilingual question answering. Identifying and meeting these...