David Farr

According to our database, David Farr authored at least 8 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Expert-in-the-Loop Systems with Cross-Domain and In-Domain Few-Shot Learning for Software Vulnerability Detection.

David Farr, Kevin Talty, Alexandra Farr, John Stockdale, Iain Cruickshank, Jevin West

CoRR, June, 2025

Ensemble-Based Uncertainty Quantification for Reliable Large Language Model Classification in Social Data Applications.

David Farr, Lynnette Hui Xian Ng, Iain J. Cruickshank, Nico Manzonelli, Nicholas Clark, Kate Starbird, Nathaniel D. Bastian, Jevin West

IEEE Access, 2025

Building Bridges between Users and Content across Multiple Platforms during Natural Disasters.

Lynnette Hui Xian Ng, Iain J. Cruickshank, David Farr

Proceedings of the 17th ACM Web Science Conference 2025, 2025

RED-CT: A Systems Design Methodology for Using LLM-labeled Data to Train and Deploy Edge Linguistic Classifiers.

David Farr, Nico Manzonelli, Iain Cruickshank, Jevin West

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

LLM Confidence Evaluation Measures in Zero-Shot CSS Classification.

David Farr, Iain Cruickshank, Nico Manzonelli, Nicholas Clark, Kate Starbird, Jevin West

CoRR, 2024

RED-CT: A Systems Design Methodology for Using LLM-labeled Data to Train and Deploy Edge Classifiers for Computational Social Science.

David Farr, Nico Manzonelli, Iain Cruickshank, Jevin West

CoRR, 2024

LLM Chain Ensembles for Scalable and Accurate Data Annotation.

David Farr, Nico Manzonelli, Iain Cruickshank, Kate Starbird, Jevin West

Proceedings of the IEEE International Conference on Big Data, 2024

2015

USG Uses Stochastic Optimization to Lower Distribution Costs.

Amy David, David Farr, Ross Januszyk, Urmila M. Diwekar

Interfaces, 2015