SAEL combines LLM predictions, LLM-generated explanations, and code features via an adaptive mixture-of-experts gate and reports state-of-the-art F1 on four smart contract vulnerability benchmarks.
Rethinking smart contract fuzzing: Fuzzing with invocation ordering and important branch revisiting,
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SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection
SAEL combines LLM predictions, LLM-generated explanations, and code features via an adaptive mixture-of-experts gate and reports state-of-the-art F1 on four smart contract vulnerability benchmarks.