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Marco Bellagente

Marco Bellagente has 4 papers in our library, in 2023–2024, most of them on Semitic languages; often with Duy Phung, Jonathan Tow, Maksym Zhuravinskyi.

4 papers in our library · 2023–2024

OpenAlex · h-index 6 · 20 works · 140 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 110 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7136

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

🎓Heidelberg UniversityHeidelberg · Germany2020–2022 · 11 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 8The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArtificial Intelligence · 4 worksArts and Humanities · 3 worksLanguage and Linguistics · 3 worksBiochemistry, Genetics and Molecular Biology · 1 workGenetics · 1 workComputer Science Applications · 1 workInformation Systems · 1 work

🧭 Topics 1Research subjects and languages the work is about.Semitic languages · 1 work

 Works by year

2020s

20243 papers20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Stable LM 2 1.6B Technical Report (2024 · 46 citations)
    Many strong language models are released without their training data or full recipe, which makes independent replication nearly impossible.
  2. Quality-Diversity through AI Feedback (2023 · 19 citations)
    Quality-diversity (QD) search maintains a population of solutions that are both good and varied. However, it has rarely been used for creative text because quality and diversity are hard to define in code. The authors propose QDAIF, an evolutionary method in which language models handle all three parts of QD search.…
  3. Stable Code Technical Report (2024 · 9 citations)
    Code assistants such as autocomplete tools are called constantly, so a model compact enough to run locally on consumer hardware avoids network delays and dependence on gated APIs.
  4. Arabic Stable LM: Adapting Stable LM 2 1.6B to Arabic (2024 · 6 citations)
    Most Arabic-focused LLMs have at least 7B parameters, which makes them costly to run and slow at inference.

All works

5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. Holistic Evaluation of Text-to-Image Models ↗neural information processing systems · no summary yetTony Lee et al.2023 · 77 citations
  2. Stable LM 2 1.6B Technical ReportarXiv:2402.17834Marco Bellagente, Jonathan Tow, Dakota Mahan, et al.2024 · 46 citations
  3. Quality-Diversity through AI FeedbackarXiv:2310.13032Herbie Bradley, Andrew Dai, Hannah Teufel, et al.2023 · 19 citations
  4. Stable Code Technical ReportarXiv:2404.01226Nikhil Pinnaparaju, Reshinth Adithyan, Duy Phung, et al.2024 · 9 citations
  5. Arabic Stable LM: Adapting Stable LM 2 1.6B to ArabicarXiv:2412.04277Zaid Alyafeai, Michael Pieler, Hannah Teufel, et al.2024 · 6 citations

 Co-authors here

12 of 16 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 110 times (of the 149,439 papers whose bibliographies we read); 23 citing papers with a page here →.

Updated

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