| ERASER: A benchmark to evaluate rationalized NLP models J DeYoung, S Jain, NF Rajani, E Lehman, C Xiong, R Socher, ... arXiv preprint arXiv:1911.03429, 2019 | 466 | 2019 |
| Inferring which medical treatments work from reports of clinical trials E Lehman, J DeYoung, R Barzilay, BC Wallace arXiv preprint arXiv:1904.01606, 2019 | 108 | 2019 |
| Does BERT pretrained on clinical notes reveal sensitive data? E Lehman, S Jain, K Pichotta, Y Goldberg, BC Wallace arXiv preprint arXiv:2104.07762, 2021 | 73 | 2021 |
| Evidence Inference 2.0: More Data, Better Models J DeYoung, E Lehman, B Nye, IJ Marshall, BC Wallace arXiv preprint arXiv:2005.04177, 2020 | 39 | 2020 |
| Do We Still Need Clinical Language Models? E Lehman, E Hernandez, D Mahajan, J Wulff, MJ Smith, Z Ziegler, ... arXiv preprint arXiv:2302.08091, 2023 | 32 | 2023 |
| Representation learning approaches to detect false arrhythmia alarms from ecg dynamics EP Lehman, RG Krishnan, X Zhao, RG Mark, HL Li-Wei Machine learning for healthcare conference, 571-586, 2018 | 30 | 2018 |
| Understanding clinical trial reports: Extracting medical entities and their relations BE Nye, J DeYoung, E Lehman, A Nenkova, IJ Marshall, BC Wallace AMIA Summits on Translational Science Proceedings 2021, 485, 2021 | 19 | 2021 |
| Predicting and understanding unexpected respiratory decompensation in critical care using sparse and heterogeneous clinical data O Ren, AEW Johnson, EP Lehman, M Komorowski, J Aboab, F Tang, ... 2018 IEEE International Conference on Healthcare Informatics (ICHI), 144-151, 2018 | 16 | 2018 |
| Clinical-t5: Large language models built using mimic clinical text E Lehman, A Johnson PhysioNet, 2023 | 12 | 2023 |
| Learning to ask like a physician E Lehman, V Lialin, KY Legaspi, AJR Sy, PTS Pile, NRI Alberto, ... arXiv preprint arXiv:2206.02696, 2022 | 8 | 2022 |
| Towards generalizable methods for automating risk score calculation JJ Liang, E Lehman, A Iyengar, D Mahajan, P Raghavan, CY Chang, ... Proceedings of the 21st Workshop on Biomedical Language Processing, 426-431, 2022 | 3 | 2022 |
| Coding Inequity: Assessing GPT-4's Potential for Perpetuating Racial and Gender Biases in Healthcare T Zack, E Lehman, M Suzgun, JA Rodriguez, LA Celi, J Gichoya, ... medRxiv, 2023.07. 13.23292577, 2023 | 2 | 2023 |
| From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting G Adams, A Fabbri, F Ladhak, E Lehman, N Elhadad arXiv preprint arXiv:2309.04269, 2023 | 1 | 2023 |
