MIT's deterministic math solver boosts clinical LLM accuracy — but only for larger models
MIT · hf · 2026-09-15
MIT researchers propose a program-solve interface that delegates arithmetic in clinical language models to a restricted Python executor.
- Accuracy on clinical calculator tasks improves substantially for larger open-weight models
- Gains are inconsistent for smaller models
- The authors caution it does not replace verified formulas or reliable variable extraction
A practical empirical result for reliability engineering in medical AI.
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