activity
20192023
most citedCamemBERT: a Tasty French Language Model

752 citations · 1.1k across the 8 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

cs.CL2022★ 4 cited

Perplexed by Quality: A Perplexity-based Method for Adult and Harmful Content Detection in Multilingual Heterogeneous Web Data

Tim Jansen, Yangling Tong, Victoria Zevallos +1

As demand for large corpora increases with the size of current state-of-the-art language models, using web data as the main part of the pre-training corpus for these models has bec…

cs.CL2022

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…

cs.CL2022

From FreEM to D'AlemBERT: a Large Corpus and a Language Model for Early Modern French

Simon Gabay, Pedro Ortiz Suarez, Alexandre Bartz +4

Language models for historical states of language are becoming increasingly important to allow the optimal digitisation and analysis of old textual sources. Because these historica…

cs.CL2022★ 2 cited

Documenting Geographically and Contextually Diverse Data Sources: The BigScience Catalogue of Language Data and Resources

Angelina McMillan-Major, Zaid Alyafeai, Stella Biderman +15

In recent years, large-scale data collection efforts have prioritized the amount of data collected in order to improve the modeling capabilities of large language models. This prio…

cs.CL2022

Towards a Cleaner Document-Oriented Multilingual Crawled Corpus

Julien Abadji, Pedro Ortiz Suarez, Laurent Romary +1

The need for raw large raw corpora has dramatically increased in recent years with the introduction of transfer learning and semi-supervised learning methods to Natural Language Pr…