This paper proposes a structured data prediction method based on Large Language Models with In-Context Learning (LLM-ICL). The method designs sample selection strategies to choose samples closely ...

ABSTRACT: This paper proposes a structured data prediction method based on Large Language Models with In-Context Learning (LLM-ICL). The method designs sample selection strategies to choose samples ...

Objective: This study utilizes real-world data from primary membranous nephropathy (PMN) patients to preliminarily develop a venous thromboembolism (VTE) risk prediction model with machine learning.

Your neighbor has a gorgeous shade tree with branches that stretch across the fence-line. For a few months, you appreciate the shade, shelter, and brilliant fall color this tree provides. But then ...

1 School of Computer Science and Technology, Yibin University, Yibin, China 2 School of Computer and Software, Southwest Petroleum University, Chengdu, China Ever since Density Peak Clustering (DPC) ...

Embedding-based search outperforms traditional keyword-based methods across various domains by capturing semantic similarity using dense vector representations and approximate nearest neighbor (ANN) ...

A sophisticated cyber-espionage attack used by notorious Russian advanced persistent threat (APT) Fancy Bear at the outset of the current Russia-Ukraine war demonstrates a novel attack vector that a ...

Russian state hackers APT28 (Fancy Bear/Forest Blizzard/Sofacy) breached a U.S. company through its enterprise WiFi network while being thousands of miles away, by leveraging a novel technique called ...

Contrastive image and text models face significant challenges in optimizing retrieval accuracy despite their crucial role in large-scale text-to-image and image-to-text retrieval systems. While these ...