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Changshun Wu

Changshun Wu has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Summarization, Bias, fairness & safety; often with Didier Schwab, Maxime Peyrard, Philippe Mulhem.

2 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 7 · 42 works · 329 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 42 times in our library · ⭐ Paper Stars ranking: #6466

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Université Grenoble AlpesSaint-Martin-d'Hères · France2022–2026 · 26 paperscurrent🎓University of LiverpoolLiverpool · United Kingdom2026 · 2 paperscurrent🔬VerimagGières · France2022–2025 · 12 papers🔬Centre National de la Recherche ScientifiqueParis · France2017–2022 · 4 papers🎓Aix-Marseille UniversitéMarseille · France2017–2019 · 3 papers🎓Université de ToulonLa Garde · France2017–2019 · 3 papers🔬Laboratoire d’Informatique et SystèmesMarseille · France2017–2019 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksEngineering · 1 workArtificial Intelligence · 2 worksSafety, Risk, Reliability and Quality · 1 workSoftware · 1 workArts and Humanities · 1 workInformation Systems · 1 workLanguage and Linguistics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksBias, fairness & safety · 1 workSummarization · 1 work

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation (2023 · 199 citations)
    The survey examines how to make large language models safe and trustworthy as they move quickly into industrial and consumer use.
  2. What Matters to an LLM? Behavioral and Computational Evidences from Summarization (2026 · 1 citation)
    LLMs now lead in summarization, but it is unclear what internal sense of importance decides which content they keep.

 Co-authors here

8 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 42 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated

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