Project Grant 2211954
- This Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $1,167,492 to Carnegie Mellon University to support research into expert-in-the-loop neural summarization for specialized domains from July 2022 to June 2026. Specifically, the university will critically evaluate and extend the capabilities of modern pre-trained neural summarization models for use...
- This $546,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research at the Pennsylvania State University (Penn State) to advance trustworthy, human-centered summarization capabilities utilizing large language models. The research aims to develop novel summarization techniques that incorporate fine-grained user preferences, address fairness and bias, and honor human knowledge. The...
- Summary Analytics Inc. received a $276,000 Small Business Innovation Research Phase I Project Grant from the National Science Foundation to translate its universal text summarization system technology over the period of August 1, 2021 to July 31, 2022. Funded through the NSF's Engineering program (CFDA #47.041), which seeks to improve quality of life and economic strength through engineering innovation and education, the project supports Summary Analytics in further developing its...
- Federal Grant Award Summary Northeastern University received a $755,040 Project Grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), awarded August 1, 2025 with completion targeted for July 31, 2029. The project develops algorithmic techniques to enable robust machine learning (ML) at edge devices—including smartphones, sensors, and Internet-of-Things devices—which...
- Federal Grant Award Summary The National Science Foundation (NSF) awarded the University of Massachusetts $432,656 under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) beginning September 1, 2025, and concluding August 31, 2029. This collaborative research project, administered through the Division of Information and Intelligent Systems, focuses on advancing human-artificial intelligence (AI) alignment in language processing. The research will investigate why...
- Federal Project Grant Award Summary New York University received a $300,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) effective October 1, 2025, through July 31, 2028. This collaborative research initiative focuses on developing evaluation concepts and automated assessment technologies for Large Language Models (LLMs). The project will identify a comprehensive taxonomy of evaluation concepts to diagnose LLM failure...
- The University of Notre Dame received a three-year, $409,000 project grant from the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will fund research titled "COLLABORATIVE RESEARCH: SHF: SMALL: CONTEXT-AWARE MODELS OF SOURCE CODE SUMMARIZATION" from October 2021 through September 2024. The project aims to develop context-aware models for automatically summarizing source code through investigator-initiated...
- Federal Project Grant Award Summary Northeastern University received a $472,934 project grant from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070) effective August 1, 2025, through July 31, 2030. The award funds research and development of relaxed equivariant neural networks designed to improve data efficiency in deep learning by incorporating flexible symmetry constraints that...
- The National Science Foundation (NSF) awarded a $329,183 Project Grant to the College of William & Mary under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant, awarded on October 1, 2023, will fund the development of a framework and methodology to enable researchers and software engineers to better interpret the behavior of AI-powered developer tools that leverage neural language models for source code. The project aims to generate global and local...
- The National Science Foundation (NSF) awarded a 4-year, $252,007 Project Grant under the Engineering (CFDA 47.041) program to Northeastern University. The grant supports the development and testing of AI-based programming tools to assist social and natural scientists with computer programming tasks. The research team is developing large language models and associated tools to support programming languages commonly used in the sciences, such as MATLAB and R, in order to make programming easier...
The National Science Foundation awarded $1,200,000 under the Computer and Information Science and Engineering program (CFDA 47.070) to Northeastern University for a four-year project grant beginning July 2022. The grant supports research to advance neural summarization models for specialized domains with limited training data, where factually accurate summaries are critical. Researchers will evaluate state-of-the-art models fine-tuned for domains like medicine and characterize their factual accuracy. The models will be enhanced with interactive supervision via active learning and alternative training to increase transparency and control for domain experts verifying outputs. Novel architectures using latent variable summarization are intended to inspect input segments informing outputs, enabling debugging. The goal is to benefit experts through automated summarization technology with transparency and oversight.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 6/27/22 |