AINeutralarXiv – CS AI · 9h ago7/10
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Extracting Search Trees from LLM Reasoning Traces Reveals Myopic Planning
Researchers developed a method to extract and analyze search trees from LLM reasoning traces, revealing that large language models use shallower, more myopic planning strategies compared to humans. While LLMs generate extended chain-of-thought reasoning, their actual decision-making is driven primarily by shallow search rather than deep lookahead, contrasting sharply with human expert planning.