Towards a Deterministic Math Solver for Clinical Language Models
Read the original on arXiv AI →The paper explores a new approach to improve arithmetic reliability in clinical language models by having the model generate case‑specific Python code that a local executor runs deterministically, rather than performing arithmetic directly. Experiments on the MedCalc‑Bench Verified dataset show that this Program‑Solve interface yields modest gains for larger models (Qwen2.5‑32B) but not for smaller ones (Qwen2.5‑7B), and it does not replace the need for verified formulas or accurate variable extraction. The study highlights that adding an executor can help some open‑weight models but is not a universal solution.
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