A neuro-symbolic system using large reasoning models and model checkers outperforms dedicated reactive synthesis tools on benchmarks and handles parameterized systems.
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SemML 2.0 outperforms prior LTL synthesis tools on SYNTCOMP by solving more instances faster with comparable solution quality.
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SemML 2.0: Synthesizing Controllers for LTL
SemML 2.0 outperforms prior LTL synthesis tools on SYNTCOMP by solving more instances faster with comparable solution quality.