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Thinking effort aligns between humans and reasoning models in abductive reasoning

Arthur, Henry
arXiv (All) · Papers
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computation-and-language
A major question in cognitive modeling concerns the behavioral alignment between large language models and humans across linguistic and non-linguistic tasks. Unlike standard LLMs, large reasoning models (LRMs) are optimized with reinforcement learning from verifiable rewards, encouraging correct sol
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