Project Grant 2504265
- This Project Grant award, titled "ADVANCING LARGE LANGUAGE MODEL UNLEARNING: FOUNDATIONS AND APPLICATIONS", is funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The $268,000 award will be executed by Michigan State University from October 1, 2025 to September 30, 2029. The project aims to establish a comprehensive foundation for "unlearning" in large language models (LLMs), enabling the targeted...
- This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) provides $266,000.00 to Wayne State University to advance research on large language model (LLM) unlearning. The project aims to develop new algorithmic frameworks, model interpretability approaches, and data handling techniques to enable the targeted removal of harmful data influences and behaviors from pretrained LLMs without compromising their overall performance. Key...
- The National Science Foundation awarded a $400,000 Project Grant to Stanford University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year award will support research and education activities to develop conceptual and mathematical understanding of large language models. Specifically, the university will conduct research analyzing simplified generative text models and language models trained on such data to gain insights into their inner...
- The National Science Foundation (NSF) awarded a $800,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Illinois Urbana-Champaign. The 3-year grant, effective September 1, 2024, focuses on enhancing the safety of large language models (LLMs) used in high-stakes applications. The project aims to develop quantifiable safety measures and algorithms to detect and mitigate unsafe behaviors in LLMs, such as providing false or...
- This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to expand the understanding of large language models (LLMs), a type of artificial intelligence (AI) system. The $471,529 award to Trustees of Boston University aims to develop methods for identifying and characterizing multi-dimensional and continuous internal representations within LLMs, rather than just simple binary concepts. This work...
- This three-year $800,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to advance understanding of large language models through mathematical and conceptual analysis. The Trustees of Princeton University will receive funding to develop simplified generative text models, analyze how language models are trained on such generated texts, examine why learned models can perform downstream tasks, and design new adaptation methods with...
- The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of South Carolina. The grant, with a period of performance from October 1, 2024 to September 30, 2027, focuses on enhancing security and mitigating harm in AI-generated vision language models. Key technical objectives include: 1) Developing a prompting framework for detecting harmful content provenance in AI-generated vision...
- This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $100,000 to The Pennsylvania State University to develop an open, community-driven evaluation infrastructure for assessing the safety risks of large language models (LLMs). The project aims to advance AI safety research, foster public awareness, and strengthen workforce training in responsible AI practices. Key objectives include...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant for $150,000, awarded on October 1, 2025, supports research to secure large language model (LLM) applications against prompt injection attacks. The project, led by the University of California, Berkeley, will conduct a systematic study to deepen the understanding of such threats and develop new defenses to mitigate these attacks. The project aims to establish foundational security...
- The National Science Foundation (NSF) awarded a $300,000 Project Grant under the Computer and Information Science and Engineering (CFDA #47.070) Federal Grant Program to Cornell University. The grant will fund a 3-year collaborative research project titled "RI: SMALL: Evaluation Concepts for Assessing and Improving Large Language Models (LLMs)." The project aims to develop a set of "evaluation concepts" to identify areas where LLMs are underperforming, such as lack of...
The National Science Foundation (NSF) awarded a $266,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to The Leland Stanford Junior University (Stanford University) to advance research in Large Language Model (LLM) unlearning. The project aims to develop new algorithmic frameworks, model interpretability approaches, and data management techniques to enable the targeted removal of harmful content and behaviors from pretrained LLMs without compromising their overall performance. This research supports national priorities around trustworthy AI, data privacy, and safe deployment of LLMs across critical sectors like cybersecurity, healthcare, and education. The project offers educational and outreach opportunities, including curriculum development, open-source software, and inclusive mentoring programs. The grant period runs from October 1, 2025 to September 30, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $266.0k | 7/31/25 |