This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program grant, awarded under CFDA 47.070, provides $350,014 to the University of Illinois to develop responsible language models with rigorous guarantees. The project seeks to enhance the reliability of language models (LMs) through the use of conformal prediction, which provides theoretical guarantees on uncertainty quantification. The research aims to: 1) quantify uncertainty for LMs with theoretical guarantees, 2) merge conformal prediction's robust uncertainty estimation with LMs' self-correction capabilities, and 3) introduce uncertainty-based reliability measures and processing error mitigation strategies for responsible AI in LMs. The project will positively impact the value of large-scale data and foundation models, as well as responsible AI education. The award has an effective date of May 15, 2025 and an ultimate completion date of April 30, 2030.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $350.0k | 6/6/25 |