LLM-Guided Quantified SMT Solving over Uninterpreted Functions explores AquaForte leverages large language models to optimize SMT solving over uninterpreted functions, significantly outperforming existing state-of-the-art solvers.. Commercial viability score: 8.7/10 in AI-Powered SMT Solving.
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Yuhang Dong
Laboratory of Parallel Software and Computational Science, ISCAS, Beijing, China
Rui Han
SKLCS and Key Laboratory of System Software, ISCAS, Beijing, China
Fuqi Jia
SKLCS and Key Laboratory of System Software, ISCAS, Beijing, China
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Current solvers are like trying to solve a puzzle blindfolded. They miss easy solutions because they can't see the math behind the symbols.
'AI glasses for math solvers.'
Traditional solvers are slow because they can't 'see' the math. AquaForte changes the game by making them smarter.
SMT solvers are used in software verification and model checking. AquaForte can make these processes faster and more reliable, saving companies time and money.
Imagine a math teacher that helps your computer solve homework faster. It finds the right answers by understanding the problem deeply.
AquaForte uses AI to 'see' the math behind the symbols, like giving solvers glasses. It understands math patterns and suggests smart solutions.
Tested on 1,481 benchmarks, AquaForte improved solver performance by 80% for Z3 and 183.6% for CVC5.
The AI is great at finding solutions but struggles with proving something can't be solved.