Project Grant 2311286
Award Date
5/1/23
Completion Date
4/30/24
Dollars Obligated
$150K
Federal Agency
Division of Information and Intelligent Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Tampa, FL 33620, USA
Similar Awards
This Project Grant award, valued at $347,549, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program. The award supports research by New York University (NYU) to develop interactive language systems that can critically reason about textual sources to provide high-quality, up-to-date information. The key focus areas include: (1) expanding the definition of document relevancy to incorporate...
This Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will fund research to better understand the differences between how humans and AI language models process and interpret language. The $432,656 award to the University of Massachusetts (UMass) will explore techniques to align AI models more closely with human language comprehension, including investigating the relationship between model...
The National Science Foundation Division of Information and Intelligent Systems awarded a $500,000 Project Grant to Stanford University from October 1, 2021 to September 30, 2024 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant funds research to develop new tools for studying structural and inductive bias in natural language processing models. The Computer and Information Science and Engineering program supports investigator-initiated research and...
This $300,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a structure-guided reasoning approach for multi-hop, complex reasoning using large language models (LLMs). The project aims to create a framework integrating three key tasks: retrieving task-focused data and information, structuring the retrieved data and knowledge, and reasoning on the structured data and knowledge. It will...
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...
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 University of South Florida received a $179,979 Project Grant award from the National Science Foundation Division of Computer and Network Systems. The grant is part of the Computer and Information Science and Engineering program under CFDA #47.070 and will fund research titled "COLLABORATIVE RESEARCH: CNS CORE: SMALL: IMPERIAL: IN-MEMORY PROCESSING ENHANCED RACETRACK INSPIRED BY ACCESSING LATERALLY" from October 1, 2021 through September 30, 2024. The grant supports...
This $550,000 award from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of a hybrid, scalable data management system to improve access to scientific knowledge in data science. The project aims to create an intelligent, user-friendly interface that can extract, organize, and provide deep access to relevant concepts from peer-reviewed scientific literature. Key objectives include: Building a comprehensive knowledge...
The University of Washington was awarded a $549,843 National Science Foundation Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) for the project "CAREER: KNOWLEDGE-RICH NEURAL TEXT COMPREHENSION AND REASONING" from September 1, 2021 to August 31, 2026. This Project Grant will support the development of new natural language processing techniques focused on enabling computers to comprehend and reason about text at a deeper level through the...
This $763,741 project grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to better align how human and artificial intelligence (AI) models process language. The researchers at New York University will explore techniques to modify AI architectures, such as adopting semantic training objectives and leveraging causal intervention methods, to bring them more in line with how humans derive meaning from sentences and handle...