🧑‍🔬 Philippe Laban

Affiliations

• Microsoft (United States) · Redmond, United States — current · 2025–2026 on 9 papers
• University of Michigan · Ann Arbor, United States — current · 2026 on 1 paper
• Salesforce (United States) · San Francisco, United States — 2021–2025 on 38 papers
• The University of Texas at Austin · Austin, United States — 2022–2025 on 4 papers
• University of California, Los Angeles · Los Angeles, United States — 2022–2023 on 2 papers
• University of California, Berkeley · Berkeley, United States — 2017–2022 on 10 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

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 Systems, metrics and annotated benchmarks keep changing, and many test summaries come from outdated models.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…

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 ×2
• Liyan Tang ×2
• Alexander Fabbri
• Jiacheng Xu
• Semih Yavuz
• Tanya Goyal
• 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 →.

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