--- title: "Philippe Laban — author profile and papers" description: "Philippe Laban, Microsoft: 2 papers on Elamur Research (2023–2024), h-index 16 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/philippe-laban/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/philippe-laban/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Philippe Laban # Philippe Laban Philippe Laban 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/), [Liyan Tang](https://md.research.elamur.ai/free/en/authors/liyan-tang/), [Alexander Fabbri](https://md.research.elamur.ai/free/en/authors/alexander-fabbri/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5050818189) · [ORCID](https://orcid.org/0000-0001-9685-3961) · [Wikidata](https://www.wikidata.org/wiki/Q130825370) · [**h-index 16**](https://openalex.org/authors/A5050818189) · [86 works](https://openalex.org/works?filter=author.id:A5050818189) · [918 citations](https://openalex.org/works?filter=author.id:A5050818189&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/philippe-laban/#papers) · [🔗 365 citations in our library](https://md.research.elamur.ai/free/en/authors/philippe-laban/cited-by/) · [5 more in our library without a page yet](#also) · [⭐ Paper Star rank #3566](https://md.research.elamur.ai/free/en/paper-stars/page/36/#star-3566) 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=Philippe+Laban) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Philippe+Laban) · [dblp](https://dblp.org/search?q=Philippe+Laban) · [ACL Anthology](https://aclanthology.org/search/?q=Philippe+Laban) ## Affiliations [🏢**Microsoft** Redmond · United States 2025–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**University of Michigan** Ann Arbor · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-michigan/) · [🏢**Salesforce** San Francisco · United States 2021–2025 · 38 papers](https://md.research.elamur.ai/free/en/companies/salesforce/) · [🎓**University of California, Berkeley** Berkeley · United States 2017–2022 · 10 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🎓**The University of Texas at Austin** Austin · United States 2022–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-texas-at-austin/) · [🎓**University of California, Los Angeles** Los Angeles · United States 2022–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-los-angeles/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## 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… ## Also in our library 5 more works of theirs are in our library without a page here yet; they will appear as we publish them. ## 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 - [Liyan Tang](https://md.research.elamur.ai/free/en/authors/liyan-tang/) ×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 365 times (of the 140,884 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/philippe-laban/cited-by/).