Papers by Shaoyang Song

1 papers
Locally Differentially Private In-Context Learning (2024.lrec-main)

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Challenge: Large pretrained language models (LLMs) have shown surprising In-Context Learning ability.
Approach: They propose a locally differentially private framework of in-context learning for LLMs that can be augmented with a private database for some specific task.
Outcome: The proposed framework can predict labels without additional parameter modifications without input-label pairs .

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