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Reasoning

Teaching Arithmetic to Small Transformers

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First page
Teaching Arithmetic to Small Transformers
The curator’s take

Trains small transformers on chain-of-thought style data for arithmetic with large gains.

Key points
01

Data format matters: Shows that reformulating arithmetic into explicit step-by-step data dramatically improves small-model accuracy and convergence.

02

Emergence from curriculum: Fine-grained reasoning traces enable small transformers to learn multi-digit arithmetic that would otherwise require orders-of-magnitude more scale.

03

High-quality data thesis: Supports the emerging 2023 thesis that instructive, well-formatted data beats brute-force scaling for specific skills.

04

Small-model research: Informed the later Phi-series (Phi-1, Phi-1.5, Phi-2) "textbooks are all you need" data-quality research program.

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