Project Grant 2532654
- This $348,227 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to improve the scalability and effectiveness of large language models (LLMs) used in healthcare applications. The key objectives are to develop an evaluation framework to address issues like factual and faithfulness hallucinations in LLM outputs, and to introduce innovative reinforcement learning methods to better align LLM...
- This National Science Foundation (NSF) Project Grant award 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) system. The $471,529 award to Trustees of Boston University aims to develop methods for identifying and characterizing multi-dimensional and continuous internal representations within LLMs, rather than just simple binary concepts. This work...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $175,000 to Parkview Hospital, Inc. in Fort Wayne, Indiana to advance the use of trauma-informed care (TIC) principles in the design of mental health chatbots. The goal is to reduce the risks of AI-driven chatbots providing incorrect or harmful advice to vulnerable users seeking mental health support. The project will assess existing...
- This Project Grant award from the National Science Foundation's (NSF) Engineering Program (CFDA 47.041) supports a collaborative research project led by Emory University to develop an interactive artificial intelligence (AI) teammate system for upskilling mental health workers. The $548,297 award aims to understand how AI can be effectively and ethically integrated into mental health work to address the shortage of skilled workers and improve access to research-supported treatment protocols. The...
- The National Science Foundation (NSF) awarded a $650,000 Project Grant under the Engineering program (CFDA 47.041) to The Pennsylvania State University, doing business as Penn State, to develop an interactive artificial intelligence (AI) system called the Trustworthy, Explainable, and Adaptive Monitoring Machine for AI Teams (TEAMMAIT). This system aims to help address the national shortage of mental health workers skilled in research-supported treatment protocols. The project will investigate...
- The National Science Foundation (NSF) awarded a $800,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Illinois Urbana-Champaign. The 3-year grant, effective September 1, 2024, focuses on enhancing the safety of large language models (LLMs) used in high-stakes applications. The project aims to develop quantifiable safety measures and algorithms to detect and mitigate unsafe behaviors in LLMs, such as providing false or...
- The National Science Foundation (NSF) awarded a $266,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to The Leland Stanford Junior University (Stanford University) to advance research in Large Language Model (LLM) unlearning. The project aims to develop new algorithmic frameworks, model interpretability approaches, and data management techniques to enable the targeted removal of harmful content and behaviors from pretrained LLMs without...
- This $305,002 CAREER grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program will develop novel approaches to mitigate hallucinations in large-scale multi-modal learning models (LMMs). The project aims to improve the trustworthiness and applications of LMMs in healthcare, including use cases for tobacco advertisement prevention and autism behavior prediction. Key objectives include addressing biases in training data, misalignment...
- This $317,591 federal Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund research to enhance personalized healthcare through the use of large language models (LLMs) and novel memory semiconductor devices. The project aims to develop efficient retrieval-augmented generation (RAG) techniques for LLM personalization, focusing on reducing latency and hardware overhead through algorithm-hardware...
- This Project Grant award, titled "ADVANCING LARGE LANGUAGE MODEL UNLEARNING: FOUNDATIONS AND APPLICATIONS", is funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The $268,000 award will be executed by Michigan State University from October 1, 2025 to September 30, 2029. The project aims to establish a comprehensive foundation for "unlearning" in large language models (LLMs), enabling the targeted...
The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program awarded a $299,524 Project Grant to the Trustees of Indiana University to design an accountable mental health large language model (LLM) therapy software system. The project aims to develop an LLM-based approach to deliver consistent, high-quality guidance and therapy aligned with established cognitive behavioral therapy (CBT) practices. The proposed accountable LLM system will incorporate patient-therapist interaction data, supervised instruction fine-tuning, and a novel CBT-Kahneman-Tversky optimization method to ensure the model adheres to prevailing psychotherapeutic practices. This research project addresses the growing demand for scalable and accountable behavioral health applications leveraging the rapid advancements in AI-enabled LLM technologies. The project will run from October 1, 2025 to September 30, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $299.5k | 7/22/25 |