Probing Physical Reasoning with Counter-Commonsense Context

• URL: http://arxiv.org/abs/2306.02258v1
• Date: Sun, 4 Jun 2023 04:24:43 GMT
• Title: Probing Physical Reasoning with Counter-Commonsense Context
• Authors: Kazushi Kondo, Saku Sugawara, Akiko Aizawa
• Abstract summary: This study investigates how physical commonsense affects the contextualized size comparison task. This dataset tests the ability of language models to predict the size relationship between objects under various contexts.
• Score: 34.8562766828087
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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 generative 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.

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