Papers by Qingqing Dong

    1 papers
    Curse of Knowledge: Your Guidance and Provided Knowledge are biasing LLM Judges in Complex Evaluation (2025.findings-emnlp)

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    Challenge: a recent study has focused on simple settings, but their reliability in complex tasks remains understudied.
    Approach: They propose to use large language models as judges to evaluate reliability in complex tasks . they use a challenge benchmark to expose and quantify Auxiliary Information Induced Biases .
    Outcome: The proposed benchmark exposes and quantifies Auxiliary Information Induced Biases across 12 basic and 3 advanced scenarios.

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