Thomas P. Zollo

23 papers A* 6Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Reliable and Responsible Foundation Models: A Comprehensive Survey.
CoRR
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
2026 J jnl
Tell Me What To Learn: Generalizing Neural Memory to be Controllable in Natural Language.
CoRR
Max S. Bennett, Thomas P. Zollo, Richard S. Zemel
2026 J jnl
Whom to Query for What: Adaptive Group Elicitation via Multi-Turn LLM Interactions.
CoRR
Ruomeng Ding, Tianwei Gao, Thomas P. Zollo, Eitan Bachmat, Richard S. Zemel, Zhun Deng
2025 A* conf
Adaptive Elicitation of Latent Information Using Natural Language.
ICML
Jimmy Wang, Thomas P. Zollo, Richard S. Zemel, Hongseok Namkoong
2025 J jnl
Adaptive Elicitation of Latent Information Using Natural Language.
CoRR
Jimmy Wang, Thomas P. Zollo, Richard S. Zemel, Hongseok Namkoong
2025 J jnl
Confidence Calibration in Vision-Language-Action Models.
CoRR
Thomas P. Zollo, Richard S. Zemel
2025 J jnl
Guiding LLM Decision-Making with Fairness Reward Models.
CoRR
Zara Hall, Melanie Subbiah, Thomas P. Zollo, Kathleen McKeown, Richard S. Zemel
2025 A* conf
PersonalLLM: Tailoring LLMs to Individual Preferences.
ICLR
Thomas P. Zollo, Andrew Wei Tung Siah, Naimeng Ye, Ang Li, Hongseok Namkoong
2025 A* conf
QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions.
ICML
Zhun Deng, Thomas P. Zollo, Benjamin Eyre, Amogh Inamdar, David Madras, Richard S. Zemel
2025 J jnl
QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions.
CoRR
Zhun Deng, Thomas P. Zollo, Benjamin Eyre, Amogh Inamdar, David Madras, Richard S. Zemel
2025 J jnl
Reliable and Responsible Foundation Models.
Trans. Mach. Learn. Res.
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
2025 J jnl
Test-Time Warmup for Multimodal Large Language Models.
CoRR
Nikita Rajaneesh, Thomas P. Zollo, Richard S. Zemel
2025 — conf
Towards Effective Discrimination Testing for Generative AI.
FAccT
Thomas P. Zollo, Nikita Rajaneesh, Richard S. Zemel, Talia Gillis, Emily Black
2024 J jnl
Improving Predictor Reliability with Selective Recalibration.
CoRR
Thomas P. Zollo, Zhun Deng, Jake C. Snell, Toniann Pitassi, Richard S. Zemel
2024 J jnl
Improving Predictor Reliability with Selective Recalibration.
Trans. Mach. Learn. Res.
Thomas P. Zollo, Zhun Deng, Jake Snell, Toniann Pitassi, Richard S. Zemel
2024 J jnl
PersonalLLM: Tailoring LLMs to Individual Preferences.
CoRR
Thomas P. Zollo, Andrew Wei Tung Siah, Naimeng Ye, Ang Li, Hongseok Namkoong
2024 A* conf
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models.
ICLR
Thomas P. Zollo, Todd Morrill, Zhun Deng, Jake Snell, Toniann Pitassi, Richard S. Zemel
2024 J jnl
Towards Effective Discrimination Testing for Generative AI.
CoRR
Thomas P. Zollo, Nikita Rajaneesh, Richard S. Zemel, Talia B. Gillis, Emily Black
2023 A* conf
Distribution-Free Statistical Dispersion Control for Societal Applications.
NeurIPS
Zhun Deng, Thomas P. Zollo, Jake Snell, Toniann Pitassi, Richard S. Zemel
2023 J jnl
Distribution-Free Statistical Dispersion Control for Societal Applications.
CoRR
Zhun Deng, Thomas P. Zollo, Jake C. Snell, Toniann Pitassi, Richard S. Zemel
2023 J jnl
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models.
CoRR
Thomas P. Zollo, Todd Morrill, Zhun Deng, Jake C. Snell, Toniann Pitassi, Richard S. Zemel
2023 A* conf
Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions.
ICLR
Jake Snell, Thomas P. Zollo, Zhun Deng, Toniann Pitassi, Richard S. Zemel
2022 J jnl
Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions.
CoRR
Jake C. Snell, Thomas P. Zollo, Zhun Deng, Toniann Pitassi, Richard S. Zemel