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Marc Marone

Marc Marone has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining, Multilingual & cross-lingual NLP; often with Benjamin Van Durme, Dawn Lawrie, Orion Weller.

2 papers in our library · 2024–2025

OpenAlex · h-index 7 · 24 works · 369 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 631 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6750

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

🎓Johns Hopkins UniversityBaltimore · United States2021–2025 · 17 paperscurrent🏢MicrosoftRedmond · United States2019 · 2 papers

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

 Fields, topics and concepts

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

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. mmBERT: A Modern Multilingual Encoder with Annealed Language Learning (2025 · 59 citations)
    Multilingual encoder-only models have seen little progress in recent years, and XLM-R remains the default choice despite being more than six years old.
  2. “According to . . . “: Prompting Language Models Improves Quoting from Pre-Training Data (2024 · 46 citations)
    Large language models often invent facts even though they were trained on reliable text. The authors test whether a simple cue in the prompt, such as "According to Wikipedia", can make a model reproduce more material it memorized during pre-training. To measure this, they introduce QUIP-Score (Quoted Information…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. StarCoder: may the source be with you! ↗arXiv:2305.06161 · no summary yetRaymond Li et al.2023 · 732 citations
  2. mmBERT: A Modern Multilingual Encoder with Annealed Language LearningarXiv:2509.06888Marc Marone, Orion Weller, William Fleshman, et al.2025 · 59 citations
  3. “According to . . . “: Prompting Language Models Improves Quoting from Pre-Training DataConference of the European Chapter of the Association for Computational Linguistics (EACL)Orion Weller, Marc Marone, Nathaniel Weir, et al.2024 · 46 citations

 Co-authors here

6 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 631 times (of the 149,439 papers whose bibliographies we read); 141 citing papers with a page here →.

Updated

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