Publications and Contributions

• Journal Article, Academic Journal
  Ensemble-based uncertainty quantification for reliable large language model classification in social data applications (2025)

  IEEE Access, 13, pp. 116419–116429 Authors: David Farr, L. Hui Xian Ng, I. J. Cruickshank, N. Manzonelli, N. Clark, Kate Starbird, N. D. Bastian, Jevin West
• Conference Paper
  Expert-in-the-loop systems with cross-domain and in-domain few-shot learning for software vulnerability detection (2025)

  IEEE Proceedings of the 2025 Winter Simulation Conference (WSC), pp. 1955–1966 Authors: David Farr, K. Talty, A. Farr, J. Stockdale, I. Cruickshank, Jevin West
• Conference Paper
  RED-CT: A systems design method-ology for using LLM-labeled data to train and deploy edge linguistic classifiers (2025)

  Proceedings of the 31st International Conference on Computational Linguistics: Industry Track, pp. 58–67 Authors: David Farr, N Manzonelli, I Cruickshank, Jevin West
• Conference Paper
  Simulating misinformation vulnerabilities with agent personas (2025)

  IEEE Proceedings of the 2025 Winter Simulation Conference (WSC), pp. 1907–1918 Authors: David Farr, L. H. X. Ng, Stephen Prochaska, I. J. Cruickshank, Jevin West
• Conference Paper
  LLM chain ensembles for scalable and accurate data annotation (2024)

  2024 IEEE International Conference on Big Data, pp. 2110–2118 Authors: David Farr, N Manzonelli, I Cruickshank, Kate Starbird, Jevin West