Liyan Tang

According to our database, Liyan Tang authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Hwanjun Song, Hang Su, Lijia Sun, Yi Zhang, Saab Mansour, Kathleen R. McKeown

CoRR, 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, Hwanjun Song, Hang Su, Lijia Sun, Yi Zhang, Saab Mansour, Kathleen McKeown

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents.

Liyan Tang, Philippe Laban, Greg Durrett

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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, Greg Durrett, Justin F. Rousseau, Chunhua Weng, Yifan Peng

npj Digit. Medicine, 2023

Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses.

Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors.

Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Trustworthy assertion classification through prompting.

Song Wang, Liyan Tang, Akash Majety, Justin F. Rousseau, George Shih, Ying Ding, Yifan Peng

J. Biomed. Informatics, 2022

Prior Knowledge Enhances Radiology Report Generation.

Song Wang, Liyan Tang, Mingquan Lin, George Shih, Ying Ding, Yifan Peng

CoRR, 2022

EchoGen: Generating Conclusions from Echocardiogram Notes.

Liyan Tang, Shravan Kooragayalu, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau, Yifan Peng

Proceedings of the 21st Workshop on Biomedical Language Processing, 2022

Prompt-based Learning for Assertion Classification in Clinical Notes.

Song Wang, Liyan Tang, Akash Majety, Justin F. Rousseau, George Shih, Ying Ding, Yifan Peng

Proceedings of the AMIA 2022, 2022

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

RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification.

Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin F. Rousseau, Yifan Peng, Ying Ding

Proceedings of the Machine Learning for Health, 2021

Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays.

Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Song Wang, Ahmed H. Tewfik, George Shih, Ying Ding, Yifan Peng

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays.

Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Ying Ding, Yifan Peng

CoRR, 2020