activity
20222025
most citedPassport: Improving Automated Formal Verification Using Identifiers

25 citations · 37 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AI2025★ 1 cited

Lemmanaid: Neuro-Symbolic Lemma Conjecturing

Yousef Alhessi, Sólrún Halla Einarsdóttir, George Granberry +4

Mathematicians and computer scientists are increasingly leveraging proof assistants to formalize and check complex proofs, a task that demands substantial expertise. Can we lower t…

cs.SE2025

Rango: Adaptive Retrieval-Augmented Proving for Automated Software Verification

Kyle Thompson, Nuno Saavedra, Pedro Carrott +6

Formal verification using proof assistants, such as Coq, enables the creation of high-quality software. However, the verification process requires significant expertise and manual…

cs.LO2024★ 3 cited

Cobblestone: A Divide-and-Conquer Approach for Automating Formal Verification

Saketh Ram Kasibatla, Arpan Agarwal, Yuriy Brun +3

Formal verification using proof assistants, such as Coq, is an effective way of improving software quality, but requires significant effort and expertise. Machine learning can auto…

cs.SE2024★ 5 cited

CoqPyt: Proof Navigation in Python in the Era of LLMs

Pedro Carrott, Nuno Saavedra, Kyle Thompson +3

Proof assistants enable users to develop machine-checked proofs regarding software-related properties. Unfortunately, the interactive nature of these proof assistants imposes most…

cs.AI2024

Learn from Failure: Fine-Tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving

Chenyang An, Zhibo Chen, Qihao Ye +6

Recent advances in Automated Theorem Proving have shown the effectiveness of leveraging a (large) language model that generates tactics (i.e. proof steps) to search through proof s…

cs.FL2023★ 1 cited

Getting More out of Large Language Models for Proofs

Shizhuo Dylan Zhang, Talia Ringer, Emily First

Large language models have the potential to simplify formal theorem proving and make it more accessible. But how to get the most out of these models is still an open question. To a…

cs.LG2023★ 2 cited

Baldur: Whole-Proof Generation and Repair with Large Language Models

Emily First, Markus N. Rabe, Talia Ringer +1

Formally verifying software properties is a highly desirable but labor-intensive task. Recent work has developed methods to automate formal verification using proof assistants, suc…

cs.PL2022★ 25 cited

Passport: Improving Automated Formal Verification Using Identifiers

Alex Sanchez-Stern, Emily First, Timothy Zhou +3

Formally verifying system properties is one of the most effective ways of improving system quality, but its high manual effort requirements often render it prohibitively expensive.…