From the 1 of 5 linked papers with an AI index.
5 papers
A Neurosymbolic Approach to Natural Language Formalization and Verification
Chenyang An, Sam Bayless, Stefano Buliani +27
The paper presents ARc, a system that combines large language models with automated reasoning to formally translate natural‑language policies and verify their logical correctness,…
Kani: A Model Checker for Rust
Rémi Delmas, Zyad Hassan, Qinheping Hu +9
Rust's ownership type system prevents memory errors in safe code, but certain desirable properties remain orthogonal to compilation: the soundness of unsafe operations (e.g., raw p…
Large Lemma Miners: Can LLMs do Induction Proofs for Hardware?
Romy Peled, Daniel Kroening, Michael Tautschnig +1
Large Language Models (LLMs) have shown potential for solving mathematical tasks. We show that LLMs can be utilized to generate proofs by induction for hardware verification and th…
Verifying the Rust Standard Library
Byron Cook, Remi Delmas, Zyad Hassan +9
Rust's type system prevents many classes of memory errors, yet its standard library relies heavily on unsafe code whose correctness is validated through testing, including dynamic…
Teaching LLMs Program Semantics via Symbolic Execution Traces
Jonas Bayer, Stefan Zetzsche, Olivier Bouissou +3
We introduce an evaluation framework of 500 C verification tasks across five property types (memory safety, overflow, termination, reachability, data races) built on SV-COMP 2025,…