Project Grant 2504954
Award Date
9/1/25
Completion Date
8/31/29
Dollars Obligated
$433K
Federal Agency
Division of Information and Intelligent Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Amherst, MA 01003, USA
Similar Awards
This Project Grant award of $763,741.00 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports a collaborative research project at New York University (NYU) to investigate how human and artificial intelligence (AI) language models, such as ChatGPT, process and understand language. The key goals of the project are to better understand the discrepancies between how humans and AI systems process temporary...
This Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems (CFDA 47.070 - Computer and Information Science and Engineering) supports research into probing the inner workings of artificial intelligence (AI) systems and comparing them to human cognition during speech recognition. The $50,000 award to the University of Southern California (USC) will fund the development of novel mathematical models and experimental methods to examine how AI...
This $348,757 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to quantify social and affective cognition in humans and machines. The project aims to define objective measures for assessing the emotional understanding capabilities of large language models used in AI chatbots, in order to enable the development of more capable and safer conversational AI systems. Key aspects include...
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...
This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075) provides $160,000 in funding to support an early career scientist developing a framework for process-level models of human language comprehension. The goal is to bridge the gap between human language behavior and computational models by analyzing incremental language processing behavior, particularly in response to imperfect input, and implementing models to...
This $174,995 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to understand and optimize the role of human intelligence in data integration and discovery pipelines, especially in the context of emerging large language models (LLMs) like ChatGPT. The project will investigate fundamental questions about human involvement in these data processes, uncover relevant human biases, and...
This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program will develop methods for using large language models (LMs) to apply existing written guidelines, such as grading rubrics or job listings, to decision-making tasks. The $245,862 award will create datasets and annotation tools to study how humans connect guidelines to input tasks, then develop LM prompting and fine-tuning techniques to generate...
This Project Grant award from the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $50,000.00 to Brigham Young University (BYU) to develop biologically-inspired artificial intelligence (AI) language models. The goal is to create AI systems that are more responsive to human emotions, better able to remember and use information provided by humans, and more capable of making fair and equitable decisions when conflicting...
This Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to advance scientific understanding of the brain mechanisms underlying human language production and comprehension. The $830,432 award to the University of California, Berkeley will leverage advanced neuroimaging and computational techniques to create high-resolution brain activity maps during language tasks. The project's objectives...
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...