Thomas P. Zollo

According to our database, Thomas P. Zollo authored at least 10 papers between 2023 and 2025.

Collaborative distances:

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

2025

Confidence Calibration in Vision-Language-Action Models.

Thomas P. Zollo, Richard S. Zemel

CoRR, July, 2025

Guiding LLM Decision-Making with Fairness Reward Models.

Zara Hall, Melanie Subbiah, Thomas P. Zollo, Kathleen McKeown, Richard S. Zemel

CoRR, July, 2025

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions.

Zhun Deng, Thomas P. Zollo, Benjamin Eyre, Amogh Inamdar, David Madras, Richard S. Zemel

CoRR, July, 2025

Adaptive Elicitation of Latent Information Using Natural Language.

Jimmy Wang, Thomas P. Zollo, Richard S. Zemel, Hongseok Namkoong

CoRR, April, 2025

PersonalLLM: Tailoring LLMs to Individual Preferences.

Thomas P. Zollo, Andrew Wei Tung Siah, Naimeng Ye, Ang Li, Hongseok Namkoong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Towards Effective Discrimination Testing for Generative AI.

Thomas P. Zollo, Nikita Rajaneesh, Richard S. Zemel, Talia Gillis, Emily Black

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

2024

Improving Predictor Reliability with Selective Recalibration.

Thomas P. Zollo, Zhun Deng, Jake Snell, Toniann Pitassi, Richard S. Zemel

Trans. Mach. Learn. Res., 2024

Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models.

Thomas P. Zollo, Todd Morrill, Zhun Deng, Jake Snell, Toniann Pitassi, Richard S. Zemel

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Distribution-Free Statistical Dispersion Control for Societal Applications.

Zhun Deng, Thomas P. Zollo, Jake Snell, Toniann Pitassi, Richard S. Zemel

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions.

Jake Snell, Thomas P. Zollo, Zhun Deng, Toniann Pitassi, Richard S. Zemel

Proceedings of the Eleventh International Conference on Learning Representations, 2023