NSF award 2551618 · University of Southern California
RI: Leveraging Interpretability to Ensure Factual Reliability of Language Models
Final report due
28 November 2029
in 1,137 days · The award ends on 31 July 2029.
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- Decide about an extension2 Apr 2029in 897 days
award ending 2029-07-31 · Research.gov
- Extension request16 Jun 2029in 972 days
award ending 2029-07-31 · Research.gov
- No-cost extension notice21 Jul 2029in 1007 days
award ending 2029-07-31 · Research.gov
- Final report due28 Nov 2029in 1137 days
award ending 2029-07-31 · Research.gov
- Project outcomes report due28 Nov 2029in 1137 days
award ending 2029-07-31 · Research.gov
- Award is closed out28 Nov 2029in 1137 days
award ending 2029-07-31 · Research.gov
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- NSF lists this award's end date as 31 July 2029.
- NSF rules say the final report is due no later than 120 days after that.
- So the final report is due by 28 November 2029.
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Award card
- Award number
- 2551618
- Period of support
- 1 Aug 2026 – 31 Jul 2029
- Amount
- $450,000
- Awardee
- University of Southern California, LOS Angeles, CA
- Program
- Robust Intelligence
- Directorate
- CSE
Abstract
Everyday Americans often turn to chatbots powered by large language models (LLMs) to answer questions related to their work, health, major life decisions, or other interests. However, these chatbots can be unreliable as sources of information. They are known to “hallucinate” answers, or in other words, confidently assert claims that are not justified. These issues degrade trust in LLM chatbots and can lead to an…
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