[KongchangAI]
ConceptPoT

Program-of-Thought

A method in which language models generate executable programs, such as Python code, to solve reasoning problems, deriving final answers through program execution. It achieves greater precision than Chain-of-Thought on mathematical and logical tasks.

Timeline (last 90 days)

Sep 30

For comparison, the Program-of-Thought baseline achieves 72.0% overall accuracy and the tool-calling agent achieves 58.7%.

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Sep 30

In the 30-token configuration, the approach is 8.8× faster than Program-of-Thought and 2.8× more energy-efficient.

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Sep 30

Program-of-Thought is a prompting strategy that has language models generate executable code to solve mathematical problems.

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