🧑‍🔬 Liyan Tang

Affiliations

• The University of Texas at Austin · Austin, United States — 2020–2024 on 15 papers
• Weill Cornell Medicine · New York, United States — 2023 on 2 papers
• First Affiliated Hospital Zhejiang University · Hangzhou, China — 2009–2016 on 2 papers
• Zhejiang University · Hangzhou, China — 2009–2016 on 2 papers

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

Summarization1

Works by year

2020s

Papers

The most cited first (OpenAlex and our library).

1. MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents (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 (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 Systems, metrics and annotated benchmarks keep changing, and many test summaries come from outdated models.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 ×2
• Philippe Laban ×2
• Alexander Fabbri
• Jiacheng Xu
• Semih Yavuz
• Tanya Goyal
• 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 →.

This page in Markdown → https://md.research.elamur.ai/free/en/authors/liyan-tang/