Liyan Tang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Prior Knowledge

Focused Crawler

Top Venues

Publications

Liyan Tang, Philippe Laban, Greg Durrett
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents. CoRR (2024)
Liyan Tang, Igor Shalyminov, Amy Wing-mei Wong, Jon Burnsky, Jake W. Vincent, Yuan Yang, Siffi Singh, Song Feng, Hwanjun Song, Hang Su, Lijia Sun, Yi Zhang, Saab Mansour, Kathleen McKeown
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization. NAACL-HLT (2024)
Liyan Tang, Igor Shalyminov, Amy Wing-mei Wong, Jon Burnsky, Jake W. Vincent, Yuan Yang, Siffi Singh, Song Feng, Hwanjun Song, Hang Su, Lijia Sun, Yi Zhang, Saab Mansour, Kathleen R. McKeown
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization. CoRR (2024)
Liyan Tang, Zhaoyi Sun, Betina Ross S. Idnay, Jordan G. Nestor, Ali Soroush, Pierre A. Elias, Ziyang Xu, Ying Ding, Greg Durrett, Justin F. Rousseau, Chunhua Weng, Yifan Peng
Evaluating large language models on medical evidence summarization. npj Digit. Medicine 6 (2023)
Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. ACL (1) (2023)
Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. ACL (Findings) (2023)
Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. CoRR (2023)
Song Wang, Liyan Tang, Akash Majety, Justin F. Rousseau, George Shih, Ying Ding, Yifan Peng
Trustworthy assertion classification through prompting. J. Biomed. Informatics 132 (2022)
Song Wang, Liyan Tang, Mingquan Lin, George Shih, Ying Ding, Yifan Peng
Prior Knowledge Enhances Radiology Report Generation. CoRR (2022)
Song Wang, Liyan Tang, Akash Majety, Justin F. Rousseau, George Shih, Ying Ding, Yifan Peng
Prompt-based Learning for Assertion Classification in Clinical Notes. AMIA (2022)
Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yahvuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. CoRR (2022)
Liyan Tang, Shravan Kooragayalu, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau, Yifan Peng
EchoGen: Generating Conclusions from Echocardiogram Notes. BioNLP@ACL (2022)
Liyan Tang, Dhruv Rajan, Suyash Mohan, Abhijeet Pradhan, R. Nick Bryan, Greg Durrett
Making Document-Level Information Extraction Right for the Right Reasons. CoRR (2021)
Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Song Wang, Ahmed H. Tewfik, George Shih, Ying Ding, Yifan Peng
Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays. AMIA (2021)
Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin Rousseau, Yifan Peng, Ying Ding
RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification. CoRR (2021)
Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin F. Rousseau, Yifan Peng, Ying Ding
RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification. ML4H@NeurIPS (2021)
Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Ying Ding, Yifan Peng
Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays. CoRR (2020)