Combining language-model generation with rule-based selection reproduces several pragmatic phenomena, but the language models only worked reliably as idea generators, not as judges of formal linguistic properties.
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Computational models of pragmatic reasoning with flexible generation of meaning and expression alternatives
Combining language-model generation with rule-based selection reproduces several pragmatic phenomena, but the language models only worked reliably as idea generators, not as judges of formal linguistic properties.