AIBullisharXiv – CS AI · Apr 107/10
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Inference-Time Code Selection via Symbolic Equivalence Partitioning
Researchers propose Symbolic Equivalence Partitioning, a novel inference-time selection method for code generation that uses symbolic execution and SMT constraints to identify correct solutions without expensive external verifiers. The approach improves accuracy on HumanEval+ by 10.3% and on LiveCodeBench by 17.1% at N=10 without requiring additional LLM inference.