This $400,000 award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the Massachusetts Institute of Technology (MIT) will develop novel methods, evaluations, and applications to leverage large language models (LLMs) as "tools for thought" to support creative, open-ended, and collaborative work. The key objectives are to: 1) develop a design space and guidance for building more reliable and controllable LLM...
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 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 National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $300,000 to Georgetown University will fund a study to evaluate the use of large language model (LLM) tools in supporting government agency staff working on complex public assistance programs. The project aims to develop a methodology for measuring the impacts of LLM-based systems, which have the potential to reduce errors and burdens for staff by automating data entry,...
This $120,752 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program supports research to improve the robustness, fairness, and cultural awareness of common sense reasoning in large language models (LLMs). The project aims to develop scientific methods for measuring and enhancing LLM capabilities in three key areas: (1) correctly reasoning about everyday situations, (2) making socially fair inferences, and (3) adapting...
This $100,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) aims to create an infrastructure for benchmarking and holistically evaluating large language models (LLMs) for software engineering applications. The key objectives are to: Conduct a survey, interviews, and a workshop to gather requirements and gauge interest from the software engineering and machine learning communities for such...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) Project Grant award in the amount of $799,999 supports research to leverage and evaluate large language models (LLMs) as tools for thought that can enhance divergent, convergent, and cooperative work. The key objectives are to: 1) develop methods and guidance for building more reliable and controllable LLM-powered workflows, 2) enable cycles of divergent and...
This $343,156 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to improve the efficiency of large language models (LLMs) for artificial intelligence applications. The key objectives are to develop new software partitioning and FPGA-based distributed hardware approaches to optimize LLM inference, as well as platform-aware compression techniques. This co-design research aims to make...
This $550,000 Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of generative artificial intelligence (AI)-powered products that enable humans to interact and converse with books and other documents. The key products being developed include: Technology to represent the informational content of books and document discussions as a knowledge graph, which will then be used to ground large...
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...