Publications and Presentations

Publications

• Christopher T. Franck, Amy Vennos, W. Graham Mueller, and Daniel Dakota. 2025. Clustering Zero-Shot Uncertainty Estimations to Assess LLM Response Accuracy for Yes/No Q&A. In Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM²), pages 337–353, Vienna, Austria and virtual meeting. Association for Computational Linguistics

Link: https://aclanthology.org/2025.gem-1.29/ 

• Vennos, A.; George, K.; Michaels, A. Attacks and Defenses for Single-Stage Residue Number System PRNGs. IoT 2021, 2, 375-400.

Link: https://www.mdpi.com/2624-831X/2/3/20 

• Vennos, A.; Michaels, A. Shannon Entropy Loss in Mixed-Radix Conversions. Entropy 2021, 23, 967.

Link: https://www.mdpi.com/1099-4300/23/8/967 

• Stucker, T., Vennos, A., & Young, M. P. (2020). Dedekind sums arising from newform Eisenstein series. International Journal of Number Theory, 16(10), 2129-2139. 

Link: https://www.worldscientific.com/doi/abs/10.1142/S1793042120501092 

Preprints

• Vennos, A., Xing, X., & Franck, C. T. (2026). Multiclass calibration assessment and recalibration of probability predictions via the linear log odds calibration function. 

Available on ArXiv: https://doi.org/10.48550/arXiv.2602.18573

Talks

• Multiclass Calibration Assessment and Recalibration of Probability Predictions via the Linear Log Odds Calibration Function. 2026 Joint Statistical Meeting in Boston, Massachusetts, USA,  August 2026.

• Multiclass Calibration Assessment and Recalibration of Probability Predictions via the Linear Log Odds Calibration Function. Defense and Aerospace test and Analysis (DATAWorks) 2026 Workshop in Alexandria, Virginia, USA, April 2026.

Poster Presentations

• Can Humans Trust What Machine Learning Sees? Multicategory Recalibration Approaches for Image Classification. Defense and Aerospace test and Analysis (DATAWorks) 2026 Workshop in Alexandria, Virginia, USA, April 2026.

• Can Humans Trust What Machine Learning Sees? Multicategory Recalibration Approaches for Image Classification. Women in Data Science Conference, Blacksburg, VA, USA, Februrary 2026.

• Can Humans Trust What Machine Learning Sees? Multicategory Recalibration Approaches for Image Classification. Hume Center National Security Colloquium, Blacksburg, VA, USA, April 2025.

• Do Large Language Models Know What They Don't Know? Virginia Tech Corporate Partners Event, Blacksburg VA, USA, November 2024.

• Producing and Assessing Probability Forecasts for Large Language Models. 11th Annual Hume Center and ICCAE Colloquium, Blacksburg, VA, USA, April 2024.

• Cycle Structures for Finite Cellular Automata Generated over Groups, Rings and Fields. Spring 2019 Mathematical Association of America Maryland-District of Columbia-Virginia Section Meeting, Frederick, MD, USA, April 2019. (Awarded Best Poster)

• Utilizations of Queuing Theory and Digraphs for More Efficient Merging in Tollways, Spring 2017 Mathematical Association of America Maryland-District of Columbia- Virginia Section Meeting, Frostburg, MD, USE, April 2017.