To Know or Not To Know?

This repository contains code and the data for the EMNLP 2024 paper: "To Know or Not To Know? Analyzing Self-Consistency of Large Language Models under Ambiguity"
by Anastasiia Sedova*, Robert Litschko*, Diego Frassinelli, Benjamin Roth, and Barbara Plank. (*equal contribution)

For any questions please get in touch.

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Citation

@inproceedings{sedova-etal-2024-know,
    title = "To Know or Not To Know? Analyzing Self-Consistency of Large Language Models under Ambiguity",
    author = "Sedova, Anastasiia  and
      Litschko, Robert  and
      Frassinelli, Diego  and
      Roth, Benjamin  and
      Plank, Barbara",
    editor = "Al-Onaizan, Yaser  and
      Bansal, Mohit  and
      Chen, Yun-Nung",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2024",
    month = nov,
    year = "2024",
    address = "Miami, Florida, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.findings-emnlp.1003",
    pages = "17203--17217",
}

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Acknowledgements 💎

This research has been funded by the Vienna Science and Technology Fund (WWTF)[10.47379/VRG19008] “Knowledge-infused Deep Learning for Natural Language Processing” and ERC Consolidator Grant DIALECT 101043235.