Project Grant 2529378

Award Date 8/1/25
Completion Date 7/31/28
Dollars Obligated $300K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Charlottesville, VA, USA
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This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) to the Rector & Visitors of the University of Virginia (UVA) provides $300,000 to develop approaches that optimize the utilization of external and internal knowledge in large language models (LLMs) to foster research ideation. The key activities include:

  1. Developing an adversary-based reasoning approach to effectively harness the parametric knowledge within LLMs to improve research ideation without requiring additional training.

  2. Designing a reinforcement learning-based approach to optimize LLMs' idea generation capabilities by leveraging external knowledge sources.

  3. Developing a knowledge-based hallucination detection framework to assess the groundedness of the generated research ideas and identify hallucinated claims.

The goal is to improve the adaptation of external and internal knowledge in foundation models and enhance their utility for scientific research tasks. The award period runs from Aug 1, 2025 to Jul 31, 2028.

Generated 8/5/25, 4:17 AM