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...
The Trustees of Princeton University received a $1,199,998 Project Grant award from the National Science Foundation Division of Information and Intelligent Systems on September 1, 2021 to improve grounding, generalization and contextual reasoning in vision and language models. Funded through the NSF's Computer and Information Science and Engineering program (CFDA #47.070), the research aims to advance the development and use of computational models that can better understand the context...
The National Science Foundation has awarded a $299,990 Project Grant to Columbia University to develop a prototype system using large language models to assist in the review process for releasing government records. The project aims to determine the additional data and training required to achieve acceptable levels of accuracy in using large language models to identify information that is already in the public domain, in order to streamline the document review process. The iterative system...
The Trustees of Princeton University was awarded a $150,000 Project Grant from the National Science Foundation Division of Computing and Communication Foundations. The grant supports the collaborative research project "Foundations of Deep Learning: Theory, Robustness, and the Brain?" taking place from December 2021 through November 2024 in Princeton, New Jersey. The grant is part of the NSF's Mathematical and Physical Sciences program (CFDA 47.049), which aims to promote progress in...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award to the Massachusetts Institute of Technology (MIT) in the amount of $360,000 supports the development of new efficient architectures and algorithms for large language models (LLMs) to improve their computational efficiency and enable new applications. The key products and services to be delivered under this 5-year project grant include: (1) novel...
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) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) Project Grant award of $112,818 to the University of California, Santa Barbara (UCSB) aims to improve the understanding, correction, and adaptation of large language models (LLMs) from a knowledge-oriented perspective. The project will focus on four key research thrusts: 1) understanding how external knowledge interacts with LLM behavior, 2) developing methods to enable LLMs to...
This $100,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program aims to develop a holistic benchmarking infrastructure for evaluating large language models used in software engineering. The key activities include: Conducting surveys and interviews with the software engineering and machine learning research communities to gather requirements and understand barriers in evaluating large language models for code....
The Trustees of the University of Pennsylvania received a $275,000 project grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) to conduct research on geometrization approaches toward understanding deep learning. Specifically, the three-year award funds research projects analyzing symmetries in trained deep neural networks, examining dynamics of deep learning training, and investigating how deep learning separates data across neural network...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $370,692 to the University of Washington to study the effects of large language models (LLMs) on online information work. The key goals are to model the risks that LLMs pose to effective online discourse and develop tools to help information professionals assess LLM-generated content. Through interviews, co-design activities, and surveys...