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From Prompting to Programming: Making LLM Outputs...

Based on the open-source Symbolic Prompting framework. All benchmarks, datasets, and workflows are publicly available for verification. The Problem Most interactions with LLMs today look like this: I have a user who is 17 years old. Can they vote? Please analyze their age and tell me if they meet the requirement. And the output is often something like: “It depends on the country…” This isn’t wrong — but it’s not predictable. The model is interpreting intent, filling gaps, and defaulting to conve
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