11 citations · 16 across the 2 of their papers we have counts for
2 papers
cs.CL2022★ 11 cited
PromptBoosting: Black-Box Text Classification with Ten Forward Passes
Bairu Hou, Joe O'Connor, Jacob Andreas +2
We describe PromptBoosting, a query-efficient procedure for building a text classifier from a neural language model (LM) without access to the LM's parameters, gradients, or hidden…
cs.CL2021★ 5 cited
What Context Features Can Transformer Language Models Use?
Joe O'Connor, Jacob Andreas
Transformer-based language models benefit from conditioning on contexts of hundreds to thousands of previous tokens. What aspects of these contexts contribute to accurate model pre…