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Recent advances in language models have demonstrated their capability to solve mathematical reasoning problems, achieving near-perfect accuracy on grade-school level math benchmarks like GSM8K.
The psychology of proof: Deductive reasoning in human thinking
Lance J Rips · 1994
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Bingbin Liu, Sebastien Bubeck, Ronen Eldan, Janardhan Kulkarni, Yuanzhi Li, Anh Nguyen, Rachel Ward, and Yi Zhang · 2023
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Gpt-4 technical report, 2023
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Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems
Tian Ye, Zicheng Xu, Yuanzhi Li, and Zeyuan Allen-Zhu · 2024
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Physics of Language Models: Part 1, Learning Hierarchical Language Structures
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Physics of Language Models: Part 3.2, Knowledge Manipulation
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Physics of Language Models: Part 3.1, Knowledge Storage and Extraction
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Physics of Language Models: Part 3.3, Knowledge Capacity Scaling Laws
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A careful examination of large language model performance on grade school arithmetic
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