Papers by Zidi Xiu

    1 papers
    DELPHI: Data for Evaluating LLMs’ Performance in Handling Controversial Issues (2023.emnlp-industry)

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    Challenge: a recent study of controversy-handling in large language models (LLMs) has shown that people may become increasingly dependent on such systems for information.
    Approach: They propose to construct a controversial questions dataset using a subset of a publicly available dataset.
    Outcome: The proposed dataset presents challenges concerning knowledge recency, safety, fairness, and bias.

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