Jones, Erik

Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

Bien, N., Rajpurkar, P., Ball, R. L., Irvin, J., Park, A., Jones, E., Bereket, M., Patel, B. N., Yeom, K. W., Shpanskaya, K., et al. (2018) · PLOS Medicine

Artificial Intelligence in Healthcare and EducationMedical Imaging and Analysis

Cited by 734

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

Kiani, A., Uyumazturk, B., Rajpurkar, P., Wang, A., Gao, R., Jones, E., Yu, Y., Langlotz, C. P., Ball, R. L., Montine, T. J., et al. (2020) · npj Digital Medicine

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 325

Best-of-N Jailbreaking

Hughes, J., Price, S., Lynch, A., Schaeffer, R., Barez, F., Koyejo, S., Sleight, H., Jones, E., Perez, E., & Sharma, M. (2024) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 129

Capturing Failures of Large Language Models Via Human Cognitive Biases

Jones, E., & Steinhardt, J. (2022) · Advances in Neural Information Processing Systems 35

Topic ModelingNatural Language Processing Techniques

Cited by 48

Capturing Failures of Large Language Models via Human Cognitive Biases

Jones, E., & Steinhardt, J. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 43

Feedback Loops With Language Models Drive In-Context Reward Hacking

Pan, A., Jones, E., Jagadeesan, M., & Steinhardt, J. (2024) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 3

Adversaries Can Misuse Combinations of Safe Models

Jones, E., Dragan, A., & Steinhardt, J. (2024) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 1

Uncovering Gaps in How Humans and LLMs Interpret Subjective Language

Jones, E., Patrawala, A., & Steinhardt, J. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0