Papers by Axel Fridman

    1 papers
    The Greatest Good Benchmark: Measuring LLMs’ Alignment with Utilitarian Moral Dilemmas (2024.emnlp-main)

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    Challenge: Our analysis across 15 diverse LLMs reveals consistently encoded moral preferences that diverge from established moral theories and lay population moral standards.
    Approach: They propose to evaluate the moral judgments of large language models using utilitarian dilemmas to determine their moral alignment.
    Outcome: The findings highlight the ‘artificial moral compass’ of Large Language Models, offering insights into their moral alignment.

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