Raphaël Millière @raphaelmilliere.com · Aug 11 In our second study, we highlighted the role of semantic content. Here, the task required identifying specific properties of concepts (e.g., "Is it a mammal?", "How many legs does it have?") and mapping them to features of the symbol strings. 5/9
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We found that the best-performing LLMs match human performance across many of our challenging new tasks. This provides evidence that sophisticated analogical reasoning can emerge from domain-general learning, where existing computational models fall short. 6/9