Papers by Jianzhe Chai

    1 papers
    When Benchmarks Leak: Inference-Time Decontamination for LLMs (2026.acl-long)

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    Challenge: a large number of large language models (LLMs) are being evaluated for their performance, but their reliability is threatened by test set contamination.
    Approach: They propose a framework that decontaminates large language models by applying small perturbations to the input embedding space.
    Outcome: The proposed framework achieves strong decontamination effectiveness while incurring minimal degradation in benign utility.

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