3 papers
cs.AI2026
Neural Theorem Proving for Verification Conditions: A Real-World Benchmark
Qiyuan Xu, Xiaokun Luan, Renxi Wang +5
Theorem proving is fundamental to program verification, where the automated proof of Verification Conditions (VCs) remains a primary bottleneck. Real-world program verification fre…
cs.PL2025
A Minimalist Proof Language for Neural Theorem Proving over Isabelle/HOL
Qiyuan Xu, Renxi Wang, Peixin Wang +2
Neural Theorem Proving (NTP) employs LLMs to automate formal proofs in proof assistants. While LLMs have achieved relatively remarkable success in informal reasoning tasks using na…
cs.PL2024
Generically Automating Separation Logic by Functors, Homomorphisms and Modules
Qiyuan Xu, David Sanan, Zhe Hou +3
Foundational verification considers the functional correctness of programming languages with formalized semantics and uses proof assistants (e.g., Coq, Isabelle) to certify proofs.…