IEEE

Utilizing Large Language Models for Quality Enhancement of Text Annotation Data: A Chain of Thought Reasoning Approach

Abstract: Large language models (LLMS) have shown great potential for automating and improving the quality of data annotation. This study proposes a quality improvement pipeline, which combines Chain ...
eLife

Determining fragility and robustness to missing data in binary outcome meta-analyses, illustrated with conflicting associations between vitamin D and cancer mortality

This manuscript makes a valuable contribution to the concept of fragility of meta-analyses via the so-called 'ellipse of insignificance for meta-analyses' (EOIMETA). The strength of evidence is solid, ...
Frontiers

New Statistical and Computational methods for Spatial transcriptomics data

Single-cell genome sequencing techniques have recently emerged, enabling high-throughput transcriptome profiling at the level of individual cells. Among ...
Music Business WorldwideOpinion

‘Metadata is the industry’s weak spot; in the age of AI, the cost of half-measures is far higher.’

AI might be sending seismic tremors through the music industry, but, says Sammy Andrews, it is also exposing some pretty ...
IEEE

SVPDSA: Selective View Perception Data Synthesis With Annotations Using Lightweight Diffusion Network

Abstract: The generation of high-quality annotated image datasets with low computational cost and automated labeling is essential for advancing computer vision systems. However, manual labeling of ...