Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models
Summary
Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models
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this is one of my favorite papers, similar method. It convinced me a that LLMs weren’t merely autocompleting they showed that EVEN WHEN the answer to a math problem was present in the dataset, the agent didn’t reference…
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Originally reported by arxiv.org
Read the original article →Original headline: Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models