Papers by Duanyi Yao

1 papers
PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models (2024.acl-long)

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Challenge: generative large language models (LLMs) exhibit surprising capability and integrate previous tasks into a unified text generation formulation.
Approach: They propose a privacy evaluation benchmark to quantify the privacy leakage of language models.
Outcome: The proposed benchmark compares PPLMs with different privacy implementations to find out how privacy leakage is handled.

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