Erik Jones

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 18

Top Topics

Query Expansion

Ad Hoc Information Retrieval

Top Venues

Publications

Erik Jones, Hamid Palangi, Clarisse Simões, Varun Chandrasekaran, Subhabrata Mukherjee, Arindam Mitra, Ahmed Hassan Awadallah, Ece Kamar
Teaching Language Models to Hallucinate Less with Synthetic Tasks. ICLR (2024)
Mert Yüksekgönül, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models. ICLR (2024)
Erik Jones, Anca D. Dragan, Jacob Steinhardt
Adversaries Can Misuse Combinations of Safe Models. CoRR (2024)
Alexander Pan, Erik Jones, Meena Jagadeesan, Jacob Steinhardt
Feedback Loops With Language Models Drive In-Context Reward Hacking. CoRR (2024)
Mert Yüksekgönül, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models. CoRR (2023)
Shengbang Tong, Erik Jones, Jacob Steinhardt
Mass-Producing Failures of Multimodal Systems with Language Models. CoRR (2023)
Shengbang Tong, Erik Jones, Jacob Steinhardt
Mass-Producing Failures of Multimodal Systems with Language Models. NeurIPS (2023)
Erik Jones, Anca D. Dragan, Aditi Raghunathan, Jacob Steinhardt
Automatically Auditing Large Language Models via Discrete Optimization. ICML (2023)
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 Hassan Awadallah
Orca 2: Teaching Small Language Models How to Reason. CoRR (2023)
Erik Jones, Anca D. Dragan, Aditi Raghunathan, Jacob Steinhardt
Automatically Auditing Large Language Models via Discrete Optimization. CoRR (2023)
Erik Jones, Hamid Palangi, Clarisse Simões, Varun Chandrasekaran, Subhabrata Mukherjee, Arindam Mitra, Ahmed Hassan Awadallah, Ece Kamar
Teaching Language Models to Hallucinate Less with Synthetic Tasks. CoRR (2023)
Erik Jones, Jacob Steinhardt
Capturing Failures of Large Language Models via Human Cognitive Biases. NeurIPS (2022)
Erik Jones, Jacob Steinhardt
Capturing Failures of Large Language Models via Human Cognitive Biases. CoRR (2022)
Erik Jones, Shiori Sagawa, Pang Wei Koh, Ananya Kumar, Percy Liang
Selective Classification Can Magnify Disparities Across Groups. ICLR (2021)
Erik Jones, Shiori Sagawa, Pang Wei Koh, Ananya Kumar, Percy Liang
Selective Classification Can Magnify Disparities Across Groups. CoRR (2020)
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
Impact of a deep learning assistant on the histopathologic classification of liver cancer. npj Digit. Medicine 3 (2020)
Erik Jones, Robin Jia, Aditi Raghunathan, Percy Liang
Robust Encodings: A Framework for Combating Adversarial Typos. ACL (2020)
Erik Jones, Robin Jia, Aditi Raghunathan, Percy Liang
Robust Encodings: A Framework for Combating Adversarial Typos. CoRR (2020)