| Conformal Prediction with Large Language Models for Multi-Choice Question Answering B Kumar, C Lu, G Gupta, A Palepu, D Bellamy, R Raskar, A Beam ICML 2023 (Neural Conversational AI TEACH) workshop, 2023 | 30 | 2023 |
| Assessment of ChatGPT success with specialty medical knowledge using anaesthesiology board examination practice questions D Shay, B Kumar, D Bellamy, A Palepu, M Dershwitz, JM Walz, ... British journal of anaesthesia 131 (2), e31-e34, 2023 | 19 | 2023 |
| Performance of a large language model on practice questions for the neonatal board examination K Beam, P Sharma, B Kumar, C Wang, D Brodsky, CR Martin, A Beam JAMA pediatrics 177 (9), 977-979, 2023 | 15 | 2023 |
| Towards reliable zero shot classification in self-supervised models with conformal prediction B Kumar, A Palepu, R Tuwani, A Beam NeurIPS Workshop on Self-Supervised Learning, 2022 | 9 | 2022 |
| Could ChatGPT-4 pass an anaesthesiology board examination? Follow-up assessment of a comprehensive set of board examination practice questions D Shay, B Kumar, S Redaelli, D von Wedel, M Liu, M Dershwitz, ... British journal of anaesthesia 132 (1), 172-174, 2024 | 3 | 2024 |
| Labrador: Exploring the Limits of Masked Language Modeling for Laboratory Data DR Bellamy, B Kumar, C Wang, A Beam arXiv preprint arXiv:2312.11502, 2023 | 1 | 2023 |
| Selective Fine-tuning on LLM-labeled Data May Reduce Reliance on Human Annotation: A Case Study Using Schedule-of-Event Table Detection B Kumar, J Amar, E Yang, N Li, Y Jia arXiv preprint arXiv:2405.06093, 2024 | | 2024 |
Andrew L. BeamAssistant Professor, Harvard University在 hms.harvard.edu 的电子邮件经过验证
