Views Are My Own, but Also Yours: Benchmarking Theory of Mind Using Common Ground
<|reference_start|>Views Are My Own, but Also Yours: Benchmarking Theory of Mind Using Common Ground: Evaluating the theory of mind (ToM) capabilities of language models (LMs) has recently received a great deal of attention. However, many existing benchmarks rely on synthetic data, which risks misaligning the resulting experiments with human behavior. We introduce the first ToM dataset based on naturally occurring spoken dialogs, Common-ToM, and show that LMs struggle to demonstrate ToM. We then show that integrating a simple, explicit representation of beliefs improves LM performance on Common-ToM.<|reference_end|>
@article{soubki2024views,
    title={Views Are My Own, but Also Yours: Benchmarking Theory of Mind Using
  Common Ground},
    author={Adil Soubki, John Murzaku, Arash Yousefi Jordehi, Peter Zeng,
  Magdalena Markowska, Seyed Abolghasem Mirroshandel, Owen Rambow},
    journal={ACL 2024 Findings},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.02451},
    primaryClass={cs.CL}
}