Abstract Segment Anything Model (SAM) has achieved impressive performance in many
computer vision tasks. However as a large-scale model the immense memory and …

Large language models (LLMs) are crucial in modern natural language processing and
artificial intelligence. However, they face challenges in managing their significant memory …

Large language models (LLMs) have achieved remarkable advancements in natural
language processing, showcasing exceptional performance across various tasks. However …

The LLaMA family, a collection of foundation language models ranging from 7B to 65B
parameters, has become one of the most powerful open-source large language models …

Large language models (LLMs) achieve remarkable performance in natural language
understanding but require substantial computation and memory resources. Post-training …

Scaling large language models has revolutionized the performance across diverse domains,
yet the continual growth in model size poses significant challenges for real-world …

Wheat is one of the most extensively cultivated crops worldwide that contributes significantly
to global food caloric and protein production and is grown on millions of hectares yearly …

The COVID-19 pandemic has profoundly impacted human societies, resulting in the loss of
millions of lives and slowing economic growth worldwide. This devastating pandemic …

In this paper, we present the first structural binarization method for LLM compression to less
than 1-bit precision. Although LLMs have achieved remarkable performance, their memory …

Large language models (LLMs) have achieved remarkable performance on Natural
Language Processing (NLP) tasks, but they are hindered by high computational costs and …