5 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.CL2022★ 4 cited
On Measuring Social Biases in Prompt-Based Multi-Task Learning
Afra Feyza Akyürek, Sejin Paik, Muhammed Yusuf Kocyigit +3
Large language models trained on a mixture of NLP tasks that are converted into a text-to-text format using prompts, can generalize into novel forms of language and handle novel ta…
cs.CL2022★ 5 cited
Challenges in Measuring Bias via Open-Ended Language Generation
Afra Feyza Akyürek, Muhammed Yusuf Kocyigit, Sejin Paik +1
Researchers have devised numerous ways to quantify social biases vested in pretrained language models. As some language models are capable of generating coherent completions given…