Erik Jones

According to our database, Erik Jones authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

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

Adversaries Can Misuse Combinations of Safe Models.

Erik Jones, Anca D. Dragan, Jacob Steinhardt

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