DocLens: Multi-aspect Fine-grained Evaluation for Medical Text Generation

16 November 2023

Papers citing "DocLens: Multi-aspect Fine-grained Evaluation for Medical Text Generation"

6 / 6 papers shown

Title
Improving Model Factuality with Fine-grained Critique-based Evaluator Yiqing Xie Wenxuan Zhou Pradyot Prakash Di Jin Yuning Mao ... Sinong Wang Han Fang Carolyn Rose Daniel Fried Hejia Zhang HILM 33 6 0 24 Oct 2024
Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards Jean-Benoit Delbrouck Pierre J. Chambon Christian Blüthgen E. Tsai Omar Almusa C. Langlotz MedIm 56 75 0 21 Oct 2022
Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversations Longxiang Zhang Renato M. P. Negrinho Arindam Ghosh V. Jagannathan H. Hassanzadeh Thomas Schaaf Matthew R. Gormley LM&MA AI4MH 82 67 0 24 Sep 2021
What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization Griffin Adams Emily Alsentzer Mert Ketenci Jason Zucker Noémie Elhadad 50 47 0 12 Apr 2021
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation Yasuhide Miura Yuhao Zhang Emily Bao Tsai C. Langlotz Dan Jurafsky MedIm 154 156 0 20 Oct 2020
PubMedQA: A Dataset for Biomedical Research Question Answering Qiao Jin Bhuwan Dhingra Zhengping Liu William W. Cohen Xinghua Lu 234 812 0 13 Sep 2019