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Spatial reasoning over text is challenging as the models not only need to extract the direct spatial information from the text but also reason over those and infer implicit spatial relations.
Language models are few-shot learners
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Named entity recognition for question answering
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Large language models are zero-shot reasoners
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Things not written in text: Exploring spatial commonsense from visual signals
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A survey on multi-hop question answering and generation
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