Nico Manzonelli

According to our database, Nico Manzonelli authored at least 6 papers between 2024 and 2025.

Collaborative distances:

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

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

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

Membership Inference Attacks and Privacy in Topic Modeling.

Nico Manzonelli, Wanrong Zhang, Salil P. Vadhan

Trans. Mach. Learn. Res., 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