715 citations · 915 across the 10 of their papers we have counts for
3 papers · 1 filter
Leveraging Large Language Models for Multiple Choice Question Answering
Joshua Robinson, Christopher Michael Rytting, David Wingate
While large language models (LLMs) like GPT-3 have achieved impressive results on multiple choice question answering (MCQA) tasks in the zero, one, and few-shot settings, they gene…
Out of One, Many: Using Language Models to Simulate Human Samples
Lisa P. Argyle, Ethan C. Busby, Nancy Fulda +3
We propose and explore the possibility that language models can be studied as effective proxies for specific human sub-populations in social science research. Practical and researc…
An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels
Taylor Sorensen, Joshua Robinson, Christopher Michael Rytting +6
Pre-trained language models derive substantial linguistic and factual knowledge from the massive corpora on which they are trained, and prompt engineering seeks to align these mode…