@inproceedings{kondo-etal-2023-probing,
    title = "Probing Physical Reasoning with Counter-Commonsense Context",
    author = "Kondo, Kazushi  and
      Sugawara, Saku  and
      Aizawa, Akiko",
    editor = "Rogers, Anna  and
      Boyd-Graber, Jordan  and
      Okazaki, Naoaki",
    booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.acl-short.53",
    doi = "10.18653/v1/2023.acl-short.53",
    pages = "603--612",
    abstract = "In this study, we create a CConS (Counter-commonsense Contextual Size comparison) dataset to investigate how physical commonsense affects the contextualized size comparison task; the proposed dataset consists of both contexts that fit physical commonsense and those that do not. This dataset tests the ability of language models to predict the size relationship between objects under various contexts generated from our curated noun list and templates. We measure the ability of several masked language models and encoder-decoder models. The results show that while large language models can use prepositions such as {``}in{''} and {``}into{''} in the provided context to infer size relationships, they fail to use verbs and thus make incorrect judgments led by their prior physical commonsense.",
}

In this study, we create a CConS (Counter-commonsense Contextual Size comparison) dataset to investigate how physical commonsense affects the contextualized size comparison task; the proposed dataset consists of both contexts that fit physical commonsense and those that do not. This dataset tests the ability of language models to predict the size relationship between objects under various contexts generated from our curated noun list and templates. We measure the ability of several masked language models and encoder-decoder models. The results show that while large language models can use prepositions such as {``}in{''} and {``}into{''} in the provided context to infer size relationships, they fail to use verbs and thus make incorrect judgments led by their prior physical commonsense.
Kondo, Kazushi Sugawara, Saku Aizawa, Akiko
Probing Physical Reasoning with Counter-Commonsense Context