Papers with Evidence-enhanced detectors

    1 papers
    On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs (2025.acl-long)

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    Challenge: Evidence-enhanced detectors are able to detect malicious social text, but they are prone to evidence pollution.
    Approach: They propose three defense strategies to mitigate evidence pollution by large language models by machine-generated text detection and a mixture of experts.
    Outcome: The proposed defense strategies could mitigate evidence pollution, but they faced limitations for practical employment.

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