Thomas P. Zollo

According to our database, Thomas P. Zollo authored at least 16 papers between 2023 and 2026.

Collaborative distances:

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

2026

Unsupervised Confidence Calibration for Reasoning LLMs from a Single Generation.

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

CoRR, April, 2026

Tell Me What To Learn: Generalizing Neural Memory to be Controllable in Natural Language.

Max S. Bennett, Thomas P. Zollo, Richard S. Zemel

CoRR, February, 2026

Whom to Query for What: Adaptive Group Elicitation via Multi-Turn LLM Interactions.

Ruomeng Ding, Tianwei Gao, Thomas P. Zollo, Eitan Bachmat, Richard S. Zemel, Zhun Deng

CoRR, February, 2026

Reliable and Responsible Foundation Models: A Comprehensive Survey.

Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P. Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian J. McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, René Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao

CoRR, February, 2026

2025

Test-Time Warmup for Multimodal Large Language Models.

Nikita Rajaneesh, Thomas P. Zollo, Richard S. Zemel

CoRR, September, 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

Reliable and Responsible Foundation Models.

Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P. Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Gordon Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian J. McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, René Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao

Trans. Mach. Learn. Res., 2025

Adaptive Elicitation of Latent Information Using Natural Language.

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

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the Forty-second International Conference on Machine Learning, 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