Liyan Tang - RankMe

21 papers A* 2Misc 2Journal 12Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models. CoRR Liyan Tang, Grace Kim, Xinyu Zhao, Thom Lake, Wenxuan Ding, Fangcong Yin, Prasann Singhal, Manya Wadhwa, Zeyu Leo Liu, Zayne Sprague, Ramya Namuduri, Bodun Hu, Juan Diego Rodriguez, Puyuan Peng, Greg Durrett
2025	A*	`conf`	Is the Top Still Spinning? Evaluating Subjectivity in Narrative Understanding. EMNLP Melanie Subbiah, Akankshya Mishra, Grace Kim, Liyan Tang, Greg Durrett, Kathleen McKeown
2025	J	`jnl`	Is the Top Still Spinning? Evaluating Subjectivity in Narrative Understanding. CoRR Melanie Subbiah, Akankshya Mishra, Grace Kim, Liyan Tang, Greg Durrett, Kathleen McKeown
2024	A*	`conf`	MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents. EMNLP Liyan Tang, Philippe Laban, Greg Durrett
2024	J	`jnl`	MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents. CoRR Liyan Tang, Philippe Laban, Greg Durrett
2024	—	`conf`	TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization. NAACL-HLT 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
2024	J	`jnl`	TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization. CoRR 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
2023	J	`jnl`	Evaluating large language models on medical evidence summarization. npj Digit. Medicine 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
2023	—	`conf`	Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. ACL (Findings) Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau
2023	J	`jnl`	Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. CoRR Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau
2023	—	`conf`	Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. ACL (1) Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett
2022	—	`conf`	EchoGen: Generating Conclusions from Echocardiogram Notes. BioNLP@ACL Liyan Tang, Shravan Kooragayalu, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau, Yifan Peng
2022	J	`jnl`	Prior Knowledge Enhances Radiology Report Generation. CoRR Song Wang, Liyan Tang, Mingquan Lin, George Shih, Ying Ding, Yifan Peng
2022	Misc	`conf`	Prompt-based Learning for Assertion Classification in Clinical Notes. AMIA Song Wang, Liyan Tang, Akash Majety, Justin F. Rousseau, George Shih, Ying Ding, Yifan Peng
2022	J	`jnl`	Trustworthy assertion classification through prompting. J. Biomed. Informatics Song Wang, Liyan Tang, Akash Majety, Justin F. Rousseau, George Shih, Ying Ding, Yifan Peng
2022	J	`jnl`	Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors. CoRR Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin F. Rousseau, Greg Durrett
2021	J	`jnl`	Making Document-Level Information Extraction Right for the Right Reasons. CoRR Liyan Tang, Dhruv Rajan, Suyash Mohan, Abhijeet Pradhan, R. Nick Bryan, Greg Durrett
2021	—	`conf`	RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification. ML4H@NeurIPS Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin F. Rousseau, Yifan Peng, Ying Ding
2021	J	`jnl`	RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification. CoRR Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin F. Rousseau, Yifan Peng, Ying Ding
2021	Misc	`conf`	Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays. AMIA Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Song Wang, Ahmed H. Tewfik, George Shih, Ying Ding, Yifan Peng
2020	J	`jnl`	Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays. CoRR Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Ying Ding, Yifan Peng