400 citations · 914 across the 16 of their papers we have counts for
5 papers · 1 filter
Galactica: A Large Language Model for Science
Ross Taylor, Marcin Kardas, Guillem Cucurull +6
Information overload is a major obstacle to scientific progress. The explosive growth in scientific literature and data has made it ever harder to discover useful insights in a lar…
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…
Fine-tuned Language Models are Continual Learners
Thomas Scialom, Tuhin Chakrabarty, Smaranda Muresan
Recent work on large language models relies on the intuition that most natural language processing tasks can be described via natural language instructions. Language models trained…
Which Discriminator for Cooperative Text Generation?
Antoine Chaffin, Thomas Scialom, Sylvain Lamprier +4
Language models generate texts by successively predicting probability distributions for next tokens given past ones. A growing field of interest tries to leverage external informat…
Generative Cooperative Networks for Natural Language Generation
Sylvain Lamprier, Thomas Scialom, Antoine Chaffin +4
Generative Adversarial Networks (GANs) have known a tremendous success for many continuous generation tasks, especially in the field of image generation. However, for discrete outp…