NeuroNL2LTL presents a neurosymbolic system with verifier-in-the-loop RL training for NL-to-LTL translation, reporting 28% semantic equivalence and 86% satisfiability on 200k+ requirements across domains.
In: The IEEE Computer Society’s 12th Annual International Symposium on Modeling, Analysis, and Sim- ulation of Computer and Telecommunications Systems, 2004.(MASCOTS 2004)
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NeuroNL2LTL: A Neurosymbolic Framework for Natural Language Translation of Linear Temporal Logic
NeuroNL2LTL presents a neurosymbolic system with verifier-in-the-loop RL training for NL-to-LTL translation, reporting 28% semantic equivalence and 86% satisfiability on 200k+ requirements across domains.