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What is A GRU-Based SAT Phase Prediction Algorithm about?
This paper presents NeuroLogic-GSM, a GRU-based SAT phase prediction algorithm designed to enhance the performance of SAT solvers by effectively capturing long-range variable dependencies. The model reconstructs traditional static paradigms into a recurrent architecture, improving logical reasoning depth and training stability, with experimental results showing performance gains over existing methods. The introduction of GRUs allows for better handling of complex logical reasoning tasks, demonstrating signi
- Author
- Ghambir s
- Language
- EN