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Transformer models exhibit a striking generative deficiency, producing far fewer high-quality sentences in "impossible" languages, which could reshape our understanding of language model limitations.
Grounding language in visual perception and discourse contexts demonstrably smooths information density, challenging text-centric views of the Uniform Information Density hypothesis.