Open vision-language models fail to select spatial demonstratives based on object distance in a human-like manner across four languages.
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Language models employ a highly localized shared mechanism for filler-gap dependencies but no unified mechanism for NPI licensing, and activation patching generalizes better than supervised alignment search.
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Evaluation of Multilingual Ability to Use Spatial Deictic Expressions in Vision-Language Models
Open vision-language models fail to select spatial demonstratives based on object distance in a human-like manner across four languages.
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Fine-Grained Analysis of Shared Syntactic Mechanisms in Language Models
Language models employ a highly localized shared mechanism for filler-gap dependencies but no unified mechanism for NPI licensing, and activation patching generalizes better than supervised alignment search.