Project Grant 2516628
- This federal Project Grant award of $215,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, awarded on September 15, 2025, aims to develop an AI model and user-facing tool that can recognize and resolve ambiguity in visual question-answering (VQA) systems. The project, led by the Regents of the University of Michigan, will create the first AI model capable of identifying all plausible image regions that a question could refer to, and...
- This Project Grant from the National Science Foundation's $524,474 Computer and Information Science and Engineering program will support the development of artificial intelligence systems capable of understanding general real-world tasks and providing step-by-step visual and language guidance to solve complex problems. Over a three-year period from June 2022 to May 2025, researchers at the University of Minnesota will create a new dataset annotating diverse everyday tasks and solutions,...
- This Project Grant award of $175,000 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program advances trustworthy artificial intelligence (AI) by developing methods to integrate large language models with structured knowledge graphs. The research, conducted by the University of California, Merced, aims to create more reliable and accurate AI-powered question answering systems. The key technical advances include synergistic knowledge...
- This federal Project Grant award of $432,656 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports collaborative research to better align how artificial intelligence (AI) language models and humans process language. The primary goal is to understand why AI models, such as ChatGPT, do not process language in the same way as humans, particularly around handling temporary semantic ambiguity. The researchers will benchmark the AI models...
- This Project Grant award of $347,549 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to advance interactive language systems that can critically reason about and synthesize information from rich knowledge sources. The research aims to develop data-centric and algorithmic approaches to model the complexities of real-world scenarios, where users' questions are ambiguous, answers continuously change based on context, and...
- This $483,129 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences program (CFDA 47.075) supports research to advance understanding of human visual perception and scene processing. The project seeks to test whether state-of-the-art AI vision-language models can generate plausible visual scenes that mimic how the human brain perceives objects in peripheral vision during everyday activities. The research aims to provide insights into the...
- 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 from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program provides $763,741 to New York University (NYU) to conduct collaborative research on how to better align artificial intelligence (AI) language models, like ChatGPT, with human language processing. The goal is to understand why AI models do not exhibit the same challenges as humans in processing temporary semantic ambiguity in language, and to...
- This federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program totaling $174,604 is focused on advancing the field of robotic visual perception. The project aims to address critical limitations in current artificial intelligence systems, particularly their inability to generalize effectively to novel environments and human-centered interactions. To accomplish this, the project proposes two main thrusts: human-centered...
- This Project Grant award, with a total funding amount of $599,997, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program. The award, effective October 1, 2024 through September 30, 2027, aims to develop advanced techniques and tools to improve the management and resolution of ambiguity within collaborative visual analytics. The key objectives are to: 1) Identify sources of ambiguity in collaborative...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, with a total funding amount of $285,000, will support research to address ambiguous language in visual question answering (VQA) systems. The project aims to develop an AI model that can identify all relevant image regions related to a question, rather than providing a single answer, in order to empower users to recognize and resolve ambiguous questions. The research will be conducted by the University of Colorado and is expected to run from September 2025 to August 2027. The project introduces the first back-end AI model capable of specifying every plausible image region that could be the focus of a question's language, along with providing natural language answers derived from those regions. The goal is to establish effective interaction designs within a user-facing tool that enables people to better recognize and resolve focus ambiguity in visual questions, which can have significant personal, social, professional, legal, and financial consequences if left unaddressed.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $285.0k | 8/4/25 |