5 citations · 12 across the 4 of their papers we have counts for
3 papers · 1 filter
dafny-annotator: AI-Assisted Verification of Dafny Programs
Gabriel Poesia, Chloe Loughridge, Nada Amin
Formal verification has the potential to drastically reduce software bugs, but its high additional cost has hindered large-scale adoption. While Dafny presents a promise to signifi…
DafnyBench: A Benchmark for Formal Software Verification
Chloe Loughridge, Qinyi Sun, Seth Ahrenbach +7
We introduce DafnyBench, the largest benchmark of its kind for training and evaluating machine learning systems for formal software verification. We test the ability of LLMs such a…
VerMCTS: Synthesizing Multi-Step Programs using a Verifier, a Large Language Model, and Tree Search
David Brandfonbrener, Simon Henniger, Sibi Raja +8
Large Language Models (LLMs) can generate useful code, but often the code they generate cannot be trusted to be sound. In this paper, we present VerMCTS, an approach to begin to re…