Researchers investigate whether large language models (LLMs) can automatically formalize symbolic constraints for Neuro-Symbolic predictors, making them suitable for high-stakes applications. They introduce a benchmark to evaluate this and find that LLMs can generate formulas similar to human experts, leading to high-quality predictions.