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Paper · arXiv

SmartEval: A Benchmark for Evaluating LLM-Generated Smart Contracts from Natural Language Specifications

We introduce SmartEval, a benchmark for systematically evaluating the quality of Solidity smart contracts generated by large language models (LLMs) from natural language specifications. SmartEval provides a corpus of 9,000 generated contracts paired with expert-written ground-truth implementations drawn from the FSMSCG dataset, a five-dimensional evaluation rubric covering functional completeness, variable fidelity, state-machine correctness, business-logic fidelity, and code quality, and a reproducible generation-and-evaluation pipeline. To validate the benchmark's reliability, we conduct three independent empirical studies: a five-condition ablation study (N=300 per condition) isolating...

AuthorsAbhinav Goel, Agostino Capponi, Alfio Gliozzo et al.
Primary categorycs.MA
Published10 May 2026
Last updated at source10 May 2026
cs.MAcs.AIcs.CEcs.LGcs.PLcs.SE
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