7 papers
NRCD: An Open Database of Collegiate Running with Unified Performance Standardization
Jonathan A. Karr, Ryan M. Fryer, Ben Darden +5
Collegiate running in the United States generates thousands of race results annually in cross country and track and field, yet no large-scale dataset has been publicly available fo…
Why AI Detection Fails for Academic Integrity
Jonathan A. Karr, Grigorii Khvatskii, Ting Hua +1
Institutions use commercial AI detectors for academic integrity, yet detectors cannot distinguish AI editing from full LLM drafts and may treat both as misconduct. In a controlled…
Omissive Bias in Religious Representation: Benchmarking LLM Answers to Everyday Ethical Decision-making
David Wingate, Sheryl Carty, Joshua Coates +13
As large language models become a default source of guidance on personal, moral, and existential questions, it matters whether they draw on the religious frameworks that have histo…
KEO: Knowledge Extraction on OMIn via Knowledge Graphs and RAG for Safety-Critical Aviation Maintenance
Kuangshi Ai, Jonathan A. Karr, Meng Jiang +2
We present Knowledge Extraction on OMIn (KEO), a domain-specific knowledge extraction and reasoning framework with large language models (LLMs) in safety-critical contexts. Using t…
Racing to the Starting Line: Measuring Opportunity and Improvement in Cross Country
Jonathan A. Karr, Ryan M. Fryer, Nitesh V. Chawla
Collegiate cross country programs set race schedules without large comparable datasets across courses and conditions. Using the comprehensive-era National Running Club Database (NR…
"Not in My Backyard": LLMs Uncover Online and Offline Social Biases Against Homelessness
Jonathan A. Karr, Benjamin F. Herbst, Matthew L. Sisk +5
Homelessness is a persistent social challenge, impacting millions worldwide. Over 876,000 people experiencing homelessness (PEH) were recorded in the U.S. in 2025. Social bias is a…
Trusted Knowledge Extraction for Operations and Maintenance Intelligence
Kathleen P. Mealey, Jonathan A. Karr, Priscila Saboia Moreira +2
Deriving operational intelligence from organizational data repositories is a key challenge due to the dichotomy of data confidentiality vs data integration objectives, as well as t…