Robust Encodings: A Framework for Combating Adversarial Typos. - Erik Jones; Robin Jia; Aditi Raghunathan; Percy Liang (ACL, 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 005; Curtis P. Langlotz; Robyn L. Ball; Thomas J. Montine; Brock A. Martin; Gerald J. Berry; et al. (npj Digit. Medicine, 2020)

Selective Classification Can Magnify Disparities Across Groups. - Erik Jones; Shiori Sagawa; Pang Wei Koh; Ananya Kumar; Percy Liang (ICLR, 2021)

Capturing Failures of Large Language Models via Human Cognitive Biases. - Erik Jones; Jacob Steinhardt (NeurIPS, 2022)

Automatically Auditing Large Language Models via Discrete Optimization. - Erik Jones; Anca D. Dragan; Aditi Raghunathan; Jacob Steinhardt (ICML, 2023)

Mass-Producing Failures of Multimodal Systems with Language Models. - Shengbang Tong; Erik Jones; Jacob Steinhardt (NeurIPS, 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; et al. (CoRR, 2023)

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 (ICLR, 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 (ICLR, 2024)

Feedback Loops With Language Models Drive In-Context Reward Hacking. - Alexander Pan; Erik Jones; Meena Jagadeesan; Jacob Steinhardt (ICML, 2024)

Adversaries Can Misuse Combinations of Safe Models. - Erik Jones; Anca D. Dragan; Jacob Steinhardt (CoRR, 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)

Uncovering Gaps in How Humans and LLMs Interpret Subjective Language. - Erik Jones; Arjun Patrawala; Jacob Steinhardt (ICLR, 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, 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 (CoRR, 2025)