Liyan Tang
Salesforce (United States)(US)
Publications by Year
Research Areas
Topic Modeling, Machine Learning in Healthcare, Natural Language Processing Techniques, Artificial Intelligence in Healthcare and Education, Biomedical Text Mining and Ontologies
Most-Cited Works
- → Evaluating large language models on medical evidence summarization(2023)334 cited
- → Evaluating GPT4 on Impressions Generation in Radiology Reports(2023)142 cited
- → Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors(2023)38 cited
- → Clinical utility of three‐dimensional echocardiography in the evaluation of tricuspid regurgitation induced by implantable device leads(2016)34 cited
- → MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents(2024)21 cited
- → TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization(2024)18 cited
- → Prior Knowledge Enhances Radiology Report Generation(2022)16 cited
- → Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays(2020)13 cited
- → Trustworthy assertion classification through prompting(2022)13 cited