Raphaël Millière @raphaelmilliere.com · Aug 11 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
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But models also showed different sensitivities than humans. For example, top LLMs were more affected by permuting the order of examples and were more distracted by irrelevant semantic information, hinting at different underlying mechanisms. 7/9