Once4All synthesizes LLM-based generators from extracted SMT grammars and populates formula skeletons to fuzz Z3 and cvc5, discovering 43 confirmed bugs with 40 fixed.
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Unrolling heuristic for recursive functions is complete for first-order theories of algebraic datatypes combined with decidable quantifier-free background theories.
EggMind automates EqSat strategy synthesis via LLMs and EqSatL, cutting final cost 45.1% and peak RAM 69.1% versus full equality saturation on vectorization benchmarks while transferring to tensor compilers.
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Once4All: Skeleton-Guided SMT Solver Fuzzing with LLM-Synthesized Generators
Once4All synthesizes LLM-based generators from extracted SMT grammars and populates formula skeletons to fuzz Z3 and cvc5, discovering 43 confirmed bugs with 40 fixed.
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Complete first-order reasoning for functional programs
Unrolling heuristic for recursive functions is complete for first-order theories of algebraic datatypes combined with decidable quantifier-free background theories.
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LLM-Guided Strategy Synthesis for Scalable Equality Saturation
EggMind automates EqSat strategy synthesis via LLMs and EqSatL, cutting final cost 45.1% and peak RAM 69.1% versus full equality saturation on vectorization benchmarks while transferring to tensor compilers.