Stearns and Poletti present a technically impressive study that aims to uncover a deeper understanding of microsaccade function: their role in perceptual modulation and the associated temporal ...

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

Abstract: Hierarchical text classification (HTC) aims to assign each document to a path of labels in a predefined taxonomy, reflecting both high-level semantic categories and fine-grained subtopics.

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...

This project was developed as part of my Master's programm at Heilbronn University. The goal is to classify different oil samples (e.g. olive oil, sunflower oil) based on their fluorescence and ...

Large Language Models (LLMs) ushered in a technological revolution. We breakdown how the most important models work. Large Language Models (LLMs) ushered in a technological revolution. We breakdown ...

Large Language Models (LLMs) ushered in a technological revolution. We breakdown how the most important models work. byLanguage Models (dot tech)@languagemodels byLanguage Models (dot ...

Tomorrow, we’ll build a full Rich Text Editor with bold, italic, font styles, colors, links—you name it. But first, let’s master the basics.

In recent decades, medical short texts, such as medical conversations and online medical inquiries, have garnered significant attention and research. The advances in the medical short text have ...

Abstract: We propose a text classification model based on dependency graph attention convolution, which improves the model’s accurate recognition of the text category by mining the semantic features ...