Papers by Mattia Setzu

    1 papers
    HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis (2023.findings-emnlp)

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    Challenge: Authorship Analysis is an essential aspect of Natural Language Processing (NLP) for a long time.
    Approach: They propose to use 17 human speech datasets and 3 LLMs to create a benchmark for spoken texts.
    Outcome: The proposed benchmark encompasses 17 human datasets and AI-generated spoken texts created using 3 prominent LLMs: ChatGPT, PaLM2, and Vicuna13B.

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