Project Grant 2220891
- This National Science Foundation Project Grant of $250,000 supports research at the University of California, San Diego to develop automated techniques for lemma synthesis in interactive theorem provers. The goal is to reduce the manual proof effort required when using interactive theorem provers to prove correctness and security properties of software. The project will explore multiple formulations of reducing the lemma synthesis problem to data-driven program synthesis, where the objective...
- This federal Project Grant award of $322,300.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop new techniques to enhance the scalability and usability of automated theorem provers (ATPs) for formal verification and proof formalization. The key objectives are to address obstacles in using large language models to automate proof construction, including data scarcity, sparse rewards, and lack of self-play. The project...
- This $611,492 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program to the University of Texas at Austin focuses on developing neurosymbolic AI techniques to enhance the accessibility and efficiency of interactive formal theorem provers. The goal is to automate the low-level aspects of theorem-proving, enabling wider use of formal verification tools for applications like safer software, more robust hardware, and...
- This three-year National Science Foundation project grant of $418,380 supports research at the University of Wisconsin-Madison to develop a neurosymbolic framework for semantics-aware program synthesis. Funded under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), the award period runs from August 1, 2022 to July 31, 2025. Specifically, the university researchers will couple large neural models trained on source code with symbolic methods from formal methods to...
- This $450,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support research at the University of California, Riverside to explore how large language models (LLMs) can assist in the analysis of complex computer software. The primary goal is to investigate strategies for integrating LLMs with existing program analysis tools to improve their accuracy and scalability in detecting bugs, vulnerabilities, and other...
- The National Science Foundation awarded $544,003 to Carnegie Mellon University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) for a three-year Project Grant beginning October 1, 2022. The grant aims to develop formal libraries, methods, and tools to carry out tasks like encoding statements as clausal formulas and reducing search spaces in verified ways using automated reasoning and interactive theorem proving. Specifically, the university will...
- This Project Grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $800,000 to Rice University from August 1, 2022 to July 31, 2025. The funding supports the development of a neurosymbolic program-synthesis framework that closely couples deep learning and classical symbolic methods for program synthesis. Specifically, the university researchers will explore new...
- The National Science Foundation awarded a $800,000 Project Grant to the University of Texas at Austin under the Computer and Information Science and Engineering program (CFDA 47.070). The three-year award will support the development of a neurosymbolic program-synthesis framework that closely couples deep learning and classical symbolic methods for program synthesis. Researchers will explore new learning algorithms exposing neural models of code to explicit knowledge about program semantics....
- This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) provides $719,494 to the University of California, San Diego (UCSD) to advance the field of program synthesis through the development of more scalable and general synthesis algorithms. The goal is to extend program synthesis capabilities to larger-scale software systems, making synthesis more usable and programmable for a wider range of users. The project builds on the...
- This four-year Project Grant from the National Science Foundation's Computer and Information Science and Engineering program provides $1.2 million to the University of Pennsylvania to improve the security and reliability of low-level software systems through formal modeling and verification. Specifically, the award will support research to develop a formal, mathematically-provable model of the LLVM compiler infrastructure behavior and apply this model to identify undefined behaviors and security...
This three-year, $349,999 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop new techniques for automated lemma synthesis in interactive theorem provers. Specifically, the University of California, Los Angeles will reduce the lemma synthesis problem to a form of data-driven program synthesis, generating input-output examples from the current proof state to ensure generated lemmas target the user's goal. The project will explore multiple formulations of lemma synthesis as a data-driven problem balancing expressiveness and tractability, and develop filtering and ranking to identify useful candidate lemmas for users. It will instantiate the approach as a tactic for the Coq proof assistant and perform experiments and user studies to iteratively improve the resulting tool. The work seeks to lower the barriers to using interactive theorem provers by reducing the manual proof effort required to obtain strong guarantees about software correctness and security properties.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $350.0k | 7/13/22 |