@inproceedings{chiesurin-etal-2023-dangers,
    title = "The Dangers of trusting Stochastic Parrots: Faithfulness and Trust in Open-domain Conversational Question Answering",
    author = "Chiesurin, Sabrina  and
      Dimakopoulos, Dimitris  and
      Sobrevilla Cabezudo, Marco Antonio  and
      Eshghi, Arash  and
      Papaioannou, Ioannis  and
      Rieser, Verena  and
      Konstas, Ioannis",
    editor = "Rogers, Anna  and
      Boyd-Graber, Jordan  and
      Okazaki, Naoaki",
    booktitle = "Findings of the Association for Computational Linguistics: ACL 2023",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.findings-acl.60",
    doi = "10.18653/v1/2023.findings-acl.60",
    pages = "947--959",
    abstract = "Large language models are known to produce output which sounds fluent and convincing, but is also often wrong, e.g. {``}unfaithful{''} with respect to a rationale as retrieved from a knowledge base. In this paper, we show that task-based systems which exhibit certain advanced linguistic dialog behaviors, such as lexical alignment (repeating what the user said), are in fact preferred and trusted more, whereas other phenomena, such as pronouns and ellipsis are dis-preferred. We use open-domain question answering systems as our test-bed for task based dialog generation and compare several open- and closed-book models. Our results highlight the danger of systems that appear to be trustworthy by parroting user input while providing an unfaithful response.",
}

Large language models are known to produce output which sounds fluent and convincing, but is also often wrong, e.g. {``}unfaithful{''} with respect to a rationale as retrieved from a knowledge base. In this paper, we show that task-based systems which exhibit certain advanced linguistic dialog behaviors, such as lexical alignment (repeating what the user said), are in fact preferred and trusted more, whereas other phenomena, such as pronouns and ellipsis are dis-preferred. We use open-domain question answering systems as our test-bed for task based dialog generation and compare several open- and closed-book models. Our results highlight the danger of systems that appear to be trustworthy by parroting user input while providing an unfaithful response.
Chiesurin, Sabrina Dimakopoulos, Dimitris Sobrevilla Cabezudo, Marco Antonio Eshghi, Arash Papaioannou, Ioannis Rieser, Verena Konstas, Ioannis
The Dangers of trusting Stochastic Parrots: Faithfulness and Trust in Open-domain Conversational Question Answering