Project Grant 2502292
- This $471,529 Project Grant awarded by the National Science Foundation (NSF) 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). The project at the Trustees of Boston University aims to move beyond identifying simple, binary concepts within LLMs and instead develop methods to discover and characterize more sophisticated, multi-dimensional...
- This Project Grant award, valued at $300,000.00, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant supports research aimed at optimizing knowledge utilization in large language models (LLMs) to foster scientific research ideation. The key objectives of the project are to (1) develop an adversary-based reasoning approach to effectively harness the parametric knowledge within LLMs to improve research...
- 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...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides funding of $150,843 to the University of Wisconsin System for a 2-year project titled "DEVELOPMENT OF AN EXPERIMENTAL BASIS FOR LARGE LANGUAGE MODEL (LLM) HYPOTHESIS GENERATION TOWARD MATERIALS DESIGN". The project aims to establish a framework for ingesting and leveraging multimodal data from experiments, such as graphs, tables, and microscopy images,...
- The University of Notre Dame received a two-year, $165,235 project grant from the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070). The grant funds collaborative research on natural language (variety) processing through September 2023. Specifically, the University will conduct investigator-initiated research to advance the development and use of computational techniques for processing diverse human languages and language varieties...
- This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program provides $100,000 to the University of Wisconsin System to conduct research on the mathematical foundations of advanced generative AI models. The project aims to characterize the mathematical principles that underpin the effectiveness of frontier AI models, such as large language models, and identify key mathematical quantities driving their...
- This Project Grant award of $300,000 from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports a study at Georgetown University to develop an evaluation methodology for measuring the impacts of implementing large language model (LLM)-based tools to assist human experts working in federal, state, and local government programs. The project will compare the performance of LLM-only, human-only, and human-LLM hybrid responses across key metrics...
- 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...
- This $499,999 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support collaborative research to investigate the theoretical foundations of compositional learning in large language models (LLMs) based on transformer architectures. The research aims to advance the understanding of how LLMs, such as GPT-4, LLAMA 2, and CLAUDE 3, can decompose complex tasks into simpler intermediate steps to...
- This $200,000 Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) federal grant program (CFDA 47.070). The grant supports a collaborative research project led by Virginia Polytechnic Institute & State University (Virginia Tech) to develop new algorithms, theorems, and systems for reliable large language models (LLMs) and open-world foundation models (OWFMs). The key focus is to create an expandable...
This Project Grant award of $466,000.00 from the National Science Foundation (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports research at the University of Notre Dame on the connections between large language models (LLMs) and mathematical logic. The project aims to develop a "Curry-Howard isomorphism for neural networks" that can lead to new theoretical results about neural networks as well as new developments in mathematical logic, particularly at the intersection of finite model theory and continuous logic. This research is expected to yield new guarantees, extensions, and explanations for LLMs, which are becoming increasingly important as their capabilities and limitations continue to emerge. The award period runs from August 2025 to July 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $466.0k | 8/7/25 |