Project Grant 2443149
- This $400,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports research at The Ohio State University to develop theoretical and algorithmic foundations for building a safe and reliable human-AI ecosystem. The key objectives are to: 1) create an analytical framework to characterize human-AI interactions and safety components, 2) examine feedback effects between agents and the...
- This $1,500,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports the University of Southern California's research on safe multi-agent systems using a neurosymbolic approach. The project aims to develop new theories and algorithms for the design of safe learning-enabled multi-agent systems, with applications in areas like wildfire prevention using drone swarms and semi-automated...
- This $400,000 federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The objective of the award is to leverage and evaluate large language models (LLMs) as "tools for thought" that can support creative, open-ended, and collaborative work across various applications such as scientific writing, text analysis, and design ideation. The key products and services to be developed and...
- 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...
- 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 $400,000 Project Grant was awarded on August 1, 2025 by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The grant is funding collaborative research by the University of Southern California (USC) to develop a scalable framework for high-assurance design of safety-critical and mission-critical cooperative autonomous agents, such as warehouse robots, delivery robots, drones, and self-driving...
- This $300,000 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) to Cornell University. The grant aims to develop new evaluation concepts and technologies for assessing and improving large language models (LLMs) used in text summarization and generation applications. The project will create a concept taxonomy and customized reward models to evaluate LLM responses across...
- 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 National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program aims to develop software frameworks that can efficiently serve and deploy machine learning models for a variety of AI-powered applications. The $600,000 award, spanning from October 2024 to September 2027, tasks the prime awardee, Georgia Tech Research Corporation, with creating agile mechanisms and policies to serve a family of AI models across...
- 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 federal Project Grant award of $400,000.00, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop a modular, general-purpose, and safety-aware web agent powered by large language models (LLMs). The key products and services to be delivered through this 5-year project (Sep 1, 2025 - Aug 31, 2030) at The Ohio State University include: These advancements are intended to lay the foundation for the next generation of web agents that can quickly adapt to new websites, continually learn, and operate safely and cost-effectively. No subawards are planned for this project.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $400.0k | 8/14/25 |