Chris Cundy

According to our database, Chris Cundy authored at least 24 papers between 2018 and 2026.

Collaborative distances:

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

2026

The Obfuscation Atlas: Mapping Where Honesty Emerges in RLVR with Deception Probes.

Mohammad Taufeeque, Stefan Heimersheim, Adam Gleave, Chris Cundy

CoRR, February, 2026

2025

Auditing Games for Sandbagging.

Jordan Taylor, Sid Black, Dillon Bowen, Thomas Read, Satvik Golechha, Alex Zelenka-Martin, Oliver Makins, Connor Kissane, Kola Ayonrinde, Jacob Merizian, Samuel Marks, Chris Cundy, Joseph Isaac Bloom

CoRR, December, 2025

The Safety Gap Toolkit: Evaluating Hidden Dangers of Open-Source Models.

Ann-Kathrin Dombrowski, Dillon Bowen, Adam Gleave, Chris Cundy

CoRR, July, 2025

Preference Learning with Lie Detectors can Induce Honesty or Evasion.

Chris Cundy, Adam Gleave

CoRR, May, 2025

Bare Minimum Mitigations for Autonomous AI Development.

Joshua Clymer, Isabella Duan, Chris Cundy, Yawen Duan, Fynn Heide, Chaochao Lu, Sören Mindermann, Conor McGurk, Xudong Pan, Saad Siddiqui, Jingren Wang, Min Yang, Xianyuan Zhan

CoRR, April, 2025

Sharpe Ratio-Guided Active Learning for Preference Optimization in RLHF.

Syrine Belakaria, Joshua Kazdan, Charles Marx, Chris Cundy, Willie Neiswanger, Sanmi Koyejo, Barbara E. Engelhardt, Stefano Ermon

CoRR, March, 2025

AI Companies Should Report Pre- and Post-Mitigation Safety Evaluations.

Dillon Bowen, Ann-Kathrin Dombrowski, Adam Gleave, Chris Cundy

CoRR, March, 2025

No, of course I can! Refusal Mechanisms Can Be Exploited Using Harmless Fine-Tuning Data.

Joshua Kazdan, Lisa Yu, Rylan Schaeffer, Chris Cundy, Sanmi Koyejo, Dvijotham Krishnamurthy

CoRR, February, 2025

KGGen: Extracting Knowledge Graphs from Plain Text with Language Models.

Belinda Mo, Kyssen Yu, Joshua Kazdan, Proud Mpala, Lisa Yu, Chris Cundy, Charilaos I. Kanatsoulis, Sanmi Koyejo

CoRR, February, 2025

2024

On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper).

Gengchen Mai, Weiming Huang, Jin Sun, Suhang Song, Deepak Mishra, Ninghao Liu, Song Gao, Tianming Liu, Gao Cong, Yingjie Hu, Chris Cundy, Ziyuan Li, Rui Zhu, Ni Lao

ACM Trans. Spatial Algorithms Syst., June, 2024

SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking.

Chris Cundy, Stefano Ermon

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients.

Chris Cundy, Rishi Desai, Stefano Ermon

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages.

Yingjie Hu, Gengchen Mai, Chris Cundy, Kristy Choi, Ni Lao, Wei Liu, Gaurish Lakhanpal, Ryan Zhenqi Zhou, Kenneth Joseph

Int. J. Geogr. Inf. Sci., November, 2023

On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence.

Gengchen Mai, Weiming Huang, Jin Sun, Suhang Song, Deepak Mishra, Ninghao Liu, Song Gao, Tianming Liu, Gao Cong, Yingjie Hu, Chris Cundy, Ziyuan Li, Rui Zhu, Ni Lao

CoRR, 2023

Neural Networks and the Chomsky Hierarchy.

Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya, Tim Genewein, Li Kevin Wenliang, Elliot Catt, Chris Cundy, Marcus Hutter, Shane Legg, Joel Veness, Pedro A. Ortega

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

LMPriors: Pre-Trained Language Models as Task-Specific Priors.

Kristy Choi, Chris Cundy, Sanjari Srivastava, Stefano Ermon

CoRR, 2022

Beyond Bayes-optimality: meta-learning what you know you don't know.

Jordi Grau-Moya, Grégoire Delétang, Markus Kunesch, Tim Genewein, Elliot Catt, Kevin Li, Anian Ruoss, Chris Cundy, Joel Veness, Jane X. Wang, Marcus Hutter, Christopher Summerfield, Shane Legg, Pedro A. Ortega

CoRR, 2022

Towards a foundation model for geospatial artificial intelligence (vision paper).

Gengchen Mai, Chris Cundy, Kristy Choi, Yingjie Hu, Ni Lao, Stefano Ermon

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

2021

IQ-Learn: Inverse soft-Q Learning for Imitation.

Divyansh Garg, Shuvam Chakraborty, Chris Cundy, Jiaming Song, Stefano Ermon

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery.

Chris Cundy, Aditya Grover, Stefano Ermon

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients.

Chris Cundy, Stefano Ermon

CoRR, 2020

Flexible Approximate Inference via Stratified Normalizing Flows.

Chris Cundy, Stefano Ermon

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2018

Exploring Hierarchy-Aware Inverse Reinforcement Learning.

Chris Cundy, Daniel Filan

CoRR, 2018

Parallelizing Linear Recurrent Neural Nets Over Sequence Length.

Eric Martin, Chris Cundy

Proceedings of the 6th International Conference on Learning Representations, 2018