Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays. - Yan Han 001; Chongyan Chen; Liyan Tang; Mingquan Lin; Ajay Jaiswal; Ying Ding 001; Yifan Peng 002 (CoRR, 2020)

Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays. - Yan Han 001; Chongyan Chen; Liyan Tang; Mingquan Lin; Ajay Jaiswal; Song Wang 026; Ahmed H. Tewfik; George Shih; Ying Ding 001; Yifan Peng 002 (AMIA, 2021)

RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification. - Ajay Jaiswal; Liyan Tang; Meheli Ghosh; Justin F. Rousseau; Yifan Peng 002; Ying Ding 001 (ML4H@NeurIPS, 2021)

Making Document-Level Information Extraction Right for the Right Reasons. - Liyan Tang; Dhruv Rajan; Suyash Mohan; Abhijeet Pradhan; R. Nick Bryan; Greg Durrett (CoRR, 2021)

Prompt-based Learning for Assertion Classification in Clinical Notes. - Song Wang 026; Liyan Tang; Akash Majety; Justin F. Rousseau; George Shih; Ying Ding 001; Yifan Peng 002 (AMIA, 2022)

EchoGen: Generating Conclusions from Echocardiogram Notes. - Liyan Tang; Shravan Kooragayalu; Yanshan Wang; Ying Ding 001; Greg Durrett; Justin F. Rousseau; Yifan Peng 002 (BioNLP@ACL, 2022)

Prior Knowledge Enhances Radiology Report Generation. - Song Wang 026; Liyan Tang; Mingquan Lin; George Shih; Ying Ding 001; Yifan Peng 002 (CoRR, 2022)

Trustworthy assertion classification through prompting. - Song Wang 026; Liyan Tang; Akash Majety; Justin F. Rousseau; George Shih; Ying Ding 001; Yifan Peng 002 (J. Biomed. Informatics, 2022)

Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. - Liyan Tang; Tanya Goyal; Alexander R. Fabbri; Philippe Laban; Jiacheng Xu 001; Semih Yavuz; Wojciech Kryscinski; Justin F. Rousseau; Greg Durrett (ACL (1), 2023)

Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. - Liyan Tang; Yifan Peng 002; Yanshan Wang; Ying Ding 001; Greg Durrett; Justin F. Rousseau (ACL (Findings), 2023)

Evaluating large language models on medical evidence summarization. - Liyan Tang; Zhaoyi Sun; Betina Ross S. Idnay; Jordan G. Nestor; Ali Soroush; Pierre A. Elias; Ziyang Xu; Ying Ding 001; Greg Durrett; Justin F. Rousseau; Chunhua Weng; Yifan Peng 002 (npj Digit. Medicine, 2023)

MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents. - Liyan Tang; Philippe Laban; Greg Durrett (EMNLP, 2024)

TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization. - Liyan Tang; Igor Shalyminov; Amy Wing-mei Wong; Jon Burnsky; Jake W. Vincent; Yuan Yang; Siffi Singh; Song Feng 001; Hwanjun Song; Hang Su; Lijia Sun; Yi Zhang 053; et al. (NAACL-HLT, 2024)

Is the Top Still Spinning? Evaluating Subjectivity in Narrative Understanding. - Melanie Subbiah; Akankshya Mishra; Grace Kim; Liyan Tang; Greg Durrett; Kathleen McKeown (CoRR, 2025)

ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models. - Liyan Tang; Grace Kim; Xinyu Zhao; Thom Lake; Wenxuan Ding 003; Fangcong Yin; Prasann Singhal; Manya Wadhwa; Zeyu Leo Liu; Zayne Sprague; Ramya Namuduri; Bodun Hu; et al. (CoRR, 2025)