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Natural Synthesis: Outperforming Reactive Synthesis Tools with Large Reasoning Models

A neuro-symbolic approach couples large reasoning models with model checkers to iteratively repair synthesized Verilog via sound symbolic feedback, solving more benchmarks than dedicated synthesis tools and enabling natural-language specification autoformalization.

Frederik Schmitt, Matthias Cosler, Niklas Metzger, Julian Siber and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 2/5