--- title: "Liyan Tang — author profile and papers" description: "Liyan Tang: 2 papers on Elamur Research (2023–2024), h-index 10 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/liyan-tang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/liyan-tang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Liyan Tang # Liyan Tang Liyan Tang has 2 papers in our library, in 2023–2024, most of them on [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/); often with [Greg Durrett](https://md.research.elamur.ai/free/en/authors/greg-durrett/), [Philippe Laban](https://md.research.elamur.ai/free/en/authors/philippe-laban/), [Alexander Fabbri](https://md.research.elamur.ai/free/en/authors/alexander-fabbri/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5111270976) · [**h-index 10**](https://openalex.org/authors/A5111270976) · [18 works](https://openalex.org/works?filter=author.id:A5111270976) · [809 citations](https://openalex.org/works?filter=author.id:A5111270976&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/liyan-tang/#papers) · [🔗 190 citations in our library](https://md.research.elamur.ai/free/en/authors/liyan-tang/cited-by/) · [⭐ Paper Star rank #3565](https://md.research.elamur.ai/free/en/paper-stars/page/36/#star-3565) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Liyan+Tang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Liyan+Tang) · [dblp](https://dblp.org/search?q=Liyan+Tang) · [ACL Anthology](https://aclanthology.org/search/?q=Liyan+Tang) ## Affiliations [🎓**The University of Texas at Austin** Austin · United States 2020–2024 · 15 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-texas-at-austin/) · [🎓**Weill Cornell Medicine** New York · United States 2023 · 2 papers](https://ror.org/02r109517) · [🏥**First Affiliated Hospital Zhejiang University** Hangzhou · China 2009–2016 · 2 papers](https://ror.org/05m1p5x56) · [🎓**Zhejiang University** Hangzhou · China 2009–2016 · 2 papers](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed. ## Topics [Summarization (1)](https://md.research.elamur.ai/free/en/topics/summarization/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/papers/tang-2024-minicheck-efficient-fact-checking-llms/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/papers/tang-2023-understanding-factual-errors-summarization-errors/) ## Papers The most cited first (OpenAlex and our library). 1. **[MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents](https://md.research.elamur.ai/free/en/papers/tang-2024-minicheck-efficient-fact-checking-llms/)** *(2024 · 159 citations)* Large language models often produce statements that their source material does not back up. This happens in retrieval-augmented generation, in summarization and in post-hoc grounding of closed-book answers. The authors treat all of these as a single task: checking each sentence against grounding documents. Using… 2. **[Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors](https://md.research.elamur.ai/free/en/papers/tang-2023-understanding-factual-errors-summarization-errors/)** *(2023 · 126 citations)* Metrics for detecting factual errors in abstractive summaries are hard to compare. Systems, metrics and annotated benchmarks keep changing, and many test summaries come from outdated models. The authors build AggreFact, a meta-benchmark that merges nine existing human-annotated factuality datasets on CNN/DM and XSum… ## Co-authors here 7 co-authors with a page, the most papers together first. - [Greg Durrett](https://md.research.elamur.ai/free/en/authors/greg-durrett/) ×2 - [Philippe Laban](https://md.research.elamur.ai/free/en/authors/philippe-laban/) ×2 - [Alexander Fabbri](https://md.research.elamur.ai/free/en/authors/alexander-fabbri/) - [Jiacheng Xu](https://md.research.elamur.ai/free/en/authors/jiacheng-xu/) - [Semih Yavuz](https://md.research.elamur.ai/free/en/authors/semih-yavuz/) - [Tanya Goyal](https://md.research.elamur.ai/free/en/authors/tanya-goyal/) - [Wojciech Kryscinski](https://md.research.elamur.ai/free/en/authors/wojciech-kryscinski/) ## Cited by Papers of our library cite their works 190 times (of the 140,884 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/liyan-tang/cited-by/).