natural-language-processing-5
Stereotypical Bias Analysis
3260 papers • 126 benchmarks • 313 datasets
This task has no description! Would you like to contribute one?
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in stereotypical-bias-analysis-5
Trend
Dataset
Best Model
Actions
CrowS-Pairs
CrowS-Pairs
Libraries
iUse these libraries to find stereotypical-bias-analysis-5 models and implementations
Datasets
Subtasks
No subtasks available.
Most implemented papers
LLaMA: Open and Efficient Foundation Language Models
Edouard Grave, Armand Joulin, Hugo Touvron, Aur'elien Rodriguez, Guillaume Lample, Thibaut Lavril, M. Lachaux, Naman Goyal, Eric Hambro, Gautier Izacard, Xavier Martinet, Timothée Lacroix, Baptiste Rozière, Faisal Azhar•Sun Feb 26 2023
LLaMA, a collection of foundation language models ranging from 7B to 65B parameters, is introduced and it is shown that it is possible to train state-of-the-art models using publicly available datasets exclusively, without resorting to proprietary and inaccessible datasets.