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 (ICLR, 2023)

Distribution-Free Statistical Dispersion Control for Societal Applications. - Zhun Deng; Thomas P. Zollo; Jake Snell; Toniann Pitassi; Richard S. Zemel (NeurIPS, 2023)

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 (ICLR, 2024)

Improving Predictor Reliability with Selective Recalibration. - Thomas P. Zollo; Zhun Deng; Jake Snell; Toniann Pitassi; Richard S. Zemel (Trans. Mach. Learn. Res., 2024)

Towards Effective Discrimination Testing for Generative AI. - Thomas P. Zollo; Nikita Rajaneesh; Richard S. Zemel; Talia Gillis; Emily Black (FAccT, 2025)

PersonalLLM: Tailoring LLMs to Individual Preferences. - Thomas P. Zollo; Andrew Wei Tung Siah; Naimeng Ye; Ang Li; Hongseok Namkoong (ICLR, 2025)

Adaptive Elicitation of Latent Information Using Natural Language. - Jimmy Wang; Thomas P. Zollo; Richard S. Zemel; Hongseok Namkoong (CoRR, 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, 2025)

Guiding LLM Decision-Making with Fairness Reward Models. - Zara Hall; Melanie Subbiah; Thomas P. Zollo; Kathleen McKeown; Richard S. Zemel (CoRR, 2025)

Confidence Calibration in Vision-Language-Action Models. - Thomas P. Zollo; Richard S. Zemel (CoRR, 2025)