565 citations · 646 across the 9 of their papers we have counts for
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cs.CL2021
Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm
Laria Reynolds, Kyle McDonell
Prevailing methods for mapping large generative language models to supervised tasks may fail to sufficiently probe models' novel capabilities. Using GPT-3 as a case study, we show…
cs.HC2021
Multiversal views on language models
Laria Reynolds, Kyle McDonell
The virtuosity of language models like GPT-3 opens a new world of possibility for human-AI collaboration in writing. In this paper, we present a framework in which generative langu…