From Text To Tables: Why Structured Data Is AI’s Next $600 Billion Frontier

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
GitHub

IGN LiDAR HD Processing Library

A comprehensive Python library for processing French IGN LiDAR HD data into machine learning-ready datasets. Features include GPU acceleration, rich geometric features, RGB/NIR augmentation, and ...
Frontiers

GECOBench: a gender-controlled text dataset and benchmark for quantifying biases in explanations

Large pre-trained language models have become a crucial backbone for many downstream tasks in natural language processing (NLP), and while they are trained on a plethora of data containing a variety ...
IEEE

News Text Classification for Wolaita Language Using Transformer-based Model and Deep Learning Approach

Abstract: NLP, an AI field, that allows communication between computers and humans. NLP news text classification uses machine learning to categorize news into predefined groups. The vast volume of ...
GitHub

Learning the syntax of plant assemblages

This is the code for Pl@ntBERT, the framework of the paper Learning the syntax of plant assemblages published in Open Access in Nature Plants. If you use this code for your work and wish to credit the ...
IEEE

Text2Graph: Combining Lightweight LLMs and GNNs for Efficient Text Classification in Label-Scarce Scenarios

Abstract: Large Language Models (LLMs) have become effective zero-shot classifiers, but their high computational requirements and environmental costs limit their practicality for large-scale ...