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Meng Lu

Meng Lu has 2 papers in our library, in 2025, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Reasoning; often with Carsten Eickhoff, Ellie Pavlick, Gaurav Srivastava.

2 papers in our library · 2025

OpenAlex · ORCID · h-index 15 · 72 works · 689 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 15 times in our library · ⭐ Paper Stars ranking: #9376

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

🎓Northeastern UniversityShenyang · China2009–2026 · 43 paperscurrent🎓North China University of Science and TechnologyTangshan · China2026 · 1 papercurrent🏥Cincinnati Children's Hospital Medical CenterCincinnati · United States2010–2016 · 8 papers🎓Xiamen UniversityXiamen · China2011–2014 · 7 papers🎓Virginia TechBlacksburg · United States2024–2025 · 2 papers🔬State Key Laboratory of Synthetical Automation for Process IndustriesShenyang2019 · 2 papers🎓University at Buffalo, State University of New YorkBuffalo · United States2016–2018 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline (2025 · 9 citations)
    Multilingual LLMs often answer the same factual question differently depending on the language, and they tend to do worse outside high-resource languages.
  2. DEBATE, TRAIN, EVOLVE: Self-Evolution of Language Model Reasoning (2025 · 7 citations)
    Large language models increasingly hit a data ceiling, which raises the question of whether they can improve reasoning without new labeled data.

 Co-authors here

5 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 15 times (of the 149,439 papers whose bibliographies we read); 7 citing papers with a page here →.

Updated

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