Erik Jones

According to our database, Erik Jones authored at least 20 papers between 2020 and 2026.

Collaborative distances:

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

2026

AI Organizations are More Effective but Less Aligned than Individual Agents.

Judy Hanwen Shen, Daniel Zhu, Siddarth Srinivasan, Henry Sleight, Lawrence T. Wagner III, Morgan Jane Matthews, Erik Jones, Jascha Sohl-Dickstein

CoRR, April, 2026

Abstractive Red-Teaming of Language Model Character.

Nate Rahn, Allison Qi, Avery Griffin, Jonathan Michala, Henry Sleight, Erik Jones

CoRR, February, 2026

Eliciting Harmful Capabilities by Fine-Tuning On Safeguarded Outputs.

Jackson Kaunismaa, Avery Griffin, John Hughes, Christina Q. Knight, Mrinank Sharma, Erik Jones

CoRR, January, 2026

2025

Beyond Data Filtering: Knowledge Localization for Capability Removal in LLMs.

Igor Shilov, Alex Cloud, Aryo Pradipta Gema, Jacob Goldman-Wetzler, Nina Panickssery, Henry Sleight, Erik Jones, Cem Anil

CoRR, December, 2025

Poisoning Attacks on LLMs Require a Near-constant Number of Poison Samples.

Alexandra Souly, Javier Rando, Ed Chapman, Xander Davies, Burak Hasircioglu, Ezzeldin Shereen, Carlos Mougan, Vasilios Mavroudis, Erik Jones, Chris Hicks, Nicholas Carlini, Yarin Gal, Robert Kirk

CoRR, October, 2025

Forecasting Rare Language Model Behaviors.

Erik Jones, Meg Tong, Jesse Mu, Mohammed Mahfoud, Jan Leike, Roger B. Grosse, Jared Kaplan, William Fithian, Ethan Perez, Mrinank Sharma

CoRR, February, 2025

How Do Large Language Monkeys Get Their Power (Laws)?

Rylan Schaeffer, Joshua Kazdan, John Hughes, Jordan Juravsky, Sara Price, Aengus Lynch, Erik Jones, Robert Kirk, Azalia Mirhoseini, Sanmi Koyejo

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Adversaries Can Misuse Combinations of Safe Models.

Erik Jones, Anca D. Dragan, Jacob Steinhardt

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Uncovering Gaps in How Humans and LLMs Interpret Subjective Language.

Erik Jones, Arjun Patrawala, Jacob Steinhardt

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Best-of-N Jailbreaking.

John Hughes, Sara Price, Aengus Lynch, Rylan Schaeffer, Fazl Barez, Sanmi Koyejo, Henry Sleight, Erik Jones, Ethan Perez, Mrinank Sharma

CoRR, 2024

Feedback Loops With Language Models Drive In-Context Reward Hacking.

Alexander Pan, Erik Jones, Meena Jagadeesan, Jacob Steinhardt

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models.

Mert Yüksekgönül, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Teaching Language Models to Hallucinate Less with Synthetic Tasks.

Erik Jones, Hamid Palangi, Clarisse Simões, Varun Chandrasekaran, Subhabrata Mukherjee, Arindam Mitra, Ahmed Hassan Awadallah, Ece Kamar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Orca 2: Teaching Small Language Models How to Reason.

Arindam Mitra, Luciano Del Corro, Shweti Mahajan, Andrés Codas, Clarisse Simões, Sahaj Agrawal, Xuxi Chen, Anastasia Razdaibiedina, Erik Jones, Kriti Aggarwal, Hamid Palangi, Guoqing Zheng, Corby Rosset, Hamed Khanpour, Ahmed Awadallah

CoRR, 2023

Mass-Producing Failures of Multimodal Systems with Language Models.

Shengbang Tong, Erik Jones, Jacob Steinhardt

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

Automatically Auditing Large Language Models via Discrete Optimization.

Erik Jones, Anca D. Dragan, Aditi Raghunathan, Jacob Steinhardt

Proceedings of the International Conference on Machine Learning, 2023

2022

Capturing Failures of Large Language Models via Human Cognitive Biases.

Erik Jones, Jacob Steinhardt

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Selective Classification Can Magnify Disparities Across Groups.

Erik Jones, Shiori Sagawa, Pang Wei Koh, Ananya Kumar, Percy Liang

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Impact of a deep learning assistant on the histopathologic classification of liver cancer.

Amirhossein Kiani, Bora Uyumazturk, Pranav Rajpurkar, Alex Wang, Rebecca Gao, Erik Jones, Yifan Yu, Curtis P. Langlotz, Robyn L. Ball, Thomas J. Montine, Brock A. Martin, Gerald J. Berry, Michael G. Ozawa, Florette K. Hazard, Ryanne A. Brown, Simon B. Chen, Mona Wood, Libby S. Allard, Lourdes Ylagan, Andrew Y. Ng, Jeanne Shen

npj Digit. Medicine, 2020

Robust Encodings: A Framework for Combating Adversarial Typos.

Erik Jones, Robin Jia, Aditi Raghunathan, Percy Liang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020