Structured Output Fixed My JSON and Cut Math Accuracy by 18 Points
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I expected constrained decoding to change formatting. I did not expect it to change which math problems the model could solve. In a controlled Qwen2.5-7B experiment, both Outlines and XGrammar raised JSON Schema compliance from 0% to 100%. At the same time, recoverable mathematical accuracy fell from 79.6% to 61.2%. That is an 18.4 percentage-point drop on the same questions, with the same prompt text, model, precision, decoding settings, and scoring code. The paired result was even harder to…
1Key Takeaways
- I expected constrained decoding to change formatting.
- I did not expect it to change which math problems the model could solve.
- In a controlled Qwen2.5-7B experiment, both Outlines and XGrammar raised JSON Schema compliance from 0% to 100%.
- At the same time, recoverable mathematical accuracy fell from 79.6% to 61.2%.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that i expected constrained decoding to change formatting.
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