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(V)LMs generalize beyond surface co-occurrence: Evidence from cross-modal number agreement
Language models learn about grammatical number primarily from co-occurrence, and show frequency effects as a result---sometimes taken to indicate that they do not learn abstract ``rules'', and are instead dependent on specific lexical items. Testing generalization with text stimuli alone cannot settle this debate, since distributional cues (is/are, this/these) easily give number away. We instead use cross-modal generalization as a tool to investigate abstractions in LMs that can also accept visual inputs (VLMs), restricting the evidence that diagnoses number to an extra-linguistic modality. We
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-31T22:31:20.000Z
First collected: 2026-09-21T06:21:59.299Z. This is not the publication date.