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Found 2 papers, 2 papers with code
PromptBoosting: Black-Box Text Classification with Ten Forward Passes
Instead of directly optimizing in prompt space, PromptBoosting obtains a small pool of prompts via a gradient-free approach and then constructs a large pool of weak learners by pairing these prompts with different elements of the LM's output distribution.
What Context Features Can Transformer Language Models Use?
Transformer-based language models benefit from conditioning on contexts of hundreds to thousands of previous tokens.
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