2.1k citations · 3.5k across the 23 of their papers we have counts for
28 papers
Stronger Together: on the Articulation of Ethical Charters, Legal Tools, and Technical Documentation in ML
Giada Pistilli, Carlos Munoz Ferrandis, Yacine Jernite +1
The growing need for accountability of the people behind AI systems can be addressed by leveraging processes in three fields of study: ethics, law, and computer science. While thes…
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset
Hugo Laurençon, Lucile Saulnier, Thomas Wang +51
As language models grow ever larger, the need for large-scale high-quality text datasets has never been more pressing, especially in multilingual settings. The BigScience workshop,…
Stable Bias: Analyzing Societal Representations in Diffusion Models
Alexandra Sasha Luccioni, Christopher Akiki, Margaret Mitchell +1
As machine learning-enabled Text-to-Image (TTI) systems are becoming increasingly prevalent and seeing growing adoption as commercial services, characterizing the social biases the…
Measuring Data
Margaret Mitchell, Alexandra Sasha Luccioni, Nathan Lambert +7
We identify the task of measuring data to quantitatively characterize the composition of machine learning data and datasets. Similar to an object's height, width, and volume, data…
The Stack: 3 TB of permissively licensed source code
Denis Kocetkov, Raymond Li, Loubna Ben Allal +10
Large Language Models (LLMs) play an ever-increasing role in the field of Artificial Intelligence (AI)--not only for natural language processing but also for code understanding and…
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience Workshop, :, Teven Le Scao +391
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to wi…