| Evaluating Large Language Models on Medical Evidence Summarization L Tang, Z Sun, B Idnay, JG Nestor, A Soroush, PA Elias, Z Xu, Y Ding, ... npj Digital Medicine, 2023.04. 22.23288967, 2023 | 96 | 2023 |
| Evaluating GPT4 on Impressions Generation in Radiology Reports Z Sun, H Ong, P Kennedy, L Tang, S Chen, J Elias, E Lucas, G Shih, ... Radiology 307 (5), e231259, 2023 | 60 | 2023 |
| Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors L Tang, T Goyal, AR Fabbri, P Laban, J Xu, S Yavuz, W Kryściński, ... ACL 2023, 2023 | 59 | 2023 |
| RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification A Jaiswal, L Tang, M Ghosh, JF Rousseau, Y Peng, Y Ding Machine Learning for Health, 196-208, 2021 | 18 | 2021 |
| Using radiomics as prior knowledge for thorax disease classification and localization in chest x-rays Y Han, C Chen, L Tang, M Lin, A Jaiswal, S Wang, A Tewfik, G Shih, ... AMIA Annual Symposium Proceedings 2021, 546, 2021 | 17 | 2021 |
| Prior knowledge enhances radiology report generation S Wang, L Tang, M Lin, G Shih, Y Ding, Y Peng AMIA Summits on Translational Science Proceedings 2022, 486, 2022 | 15 | 2022 |
| TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization L Tang, I Shalyminov, AW Wong, J Burnsky, JW Vincent, Y Yang, S Singh, ... NAACL 2024, 2024 | 11 | 2024 |
| MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents L Tang, P Laban, G Durrett arXiv preprint arXiv:2404.10774, 2024 | 9 | 2024 |
| Trustworthy assertion classification through prompting S Wang, L Tang, A Majety, JF Rousseau, G Shih, Y Ding, Y Peng Journal of biomedical informatics 132, 104139, 2022 | 8 | 2022 |
| Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses L Tang, Y Peng, Y Wang, Y Ding, G Durrett, JF Rousseau ACL findings 2023, 2023 | 7 | 2023 |
| EchoGen: a new benchmark study on generating conclusions from echocardiogram notes L Tang, S Kooragayalu, Y Wang, Y Ding, G Durrett, JF Rousseau, Y Peng BioNLP @ ACL 2022 2022, 359, 2022 | 5 | 2022 |
| Making Document-Level Information Extraction Right for the Right Reasons L Tang, D Rajan, S Mohan, A Pradhan, RN Bryan, G Durrett arXiv preprint arXiv:2110.07686, 2022 | | 2022 |
Yifan PengAssistant Professor at Weill Cornell Medicine在 med.cornell.edu 的电子邮件经过验证
