Stereotypical Bias Analysis
4 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Stereotypical Bias Analysis
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CrowS-Pairs
Most implemented papers
LLaMA: Open and Efficient Foundation Language Models
facebookresearch/llama
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arXiv 2023
We introduce LLaMA, a collection of foundation language models ranging from 7B to 65B parameters.
OPT: Open Pre-trained Transformer Language Models
Large language models, which are often trained for hundreds of thousands of compute days, have shown remarkable capabilities for zero- and few-shot learning.
Galactica: A Large Language Model for Science
We believe these results demonstrate the potential for language models as a new interface for science.
Investigating Subtler Biases in LLMs: Ageism, Beauty, Institutional, and Nationality Bias in Generative Models
LLMs are increasingly powerful and widely used to assist users in a variety of tasks.
