LLMs automate sound abstract interpreters for program verification

Researchers have developed SAIL, a framework that uses large language models to automatically generate sound abstract interpreters for program verification. This approach automates a previously manual and tedious process, synthesizing abstract transformers for complex non-linear operators. Evaluations show SAIL can match and even surpass the performance of human-designed transformers, producing sound and precise results for neural network verification. AI

IMPACT Automates complex program verification tasks, potentially improving software reliability and security.

RANK_REASON The cluster contains an academic paper detailing a new framework and methodology for synthesizing abstract interpreters using LLMs. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

• LLMs
• Qiuhan Gu
• SAIL

• paper
• safety

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →