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Marco Maggini

Marco Maggini has 6 papers in our library, in 2023–2026, most of them on Semitic languages, Language models & pretraining, Evaluation & benchmarks; often with Kamyar Zeinalipour, Marco Gori, Christoph Schommer.

6 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 26 · 183 works · 2,646 citations OpenAlex, 2026-10-14

📄 6 works in our library · 🔗 Cited 18 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #10330

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

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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. ArabicSense: A Benchmark for Evaluating Commonsense Reasoning in Arabic with Large Language Models (2025 · 7 citations)
    Commonsense benchmarks exist mostly for English, and the few Arabic ones were machine- or hand-translated from English sets such as SemEval-2020 ComVE, ECQA and OMCS.
  2. ArabIcros: AI-Powered Arabic Crossword Puzzle Generation for Educational Applications (2023 · 7 citations)
    The paper tackles the lack of tools and data for building Arabic crossword puzzles for teaching. Writing good Arabic clues takes wordplay skill, and no earlier system produced Arabic crosswords automatically.
  3. From Arabic Text to Puzzles: LLM-Driven Development of Arabic Educational Crosswords (2025 · 3 citations)
    The paper addresses the lack of Arabic educational tools. It presents a system that turns any Arabic educational text into crossword material: answer keywords plus matching clues. The authors built Arabic-Clue-Instruct from Arabic Wikipedia. They took each article's opening section, used its bolded terms as candidate…
  4. Enabling Structured Reasoning in Sindhi with Culturally Grounded Instruction Tuning (2026 · 1 citation)
    Large language models handle reasoning poorly in Sindhi, an Indo-Aryan language with over 40 million speakers.
  5. Shawarma Chats: A Benchmark Exact Dialogue & Evaluation Platter in Egyptian, Maghrebi & Modern Standard Arabic–-A Triple-Dialect Feast for Hungry Language Models (2025 · 1 citation)
    Arabic has no dialogue benchmark that ties conversations to a source text and also covers Modern Standard Arabic, Egyptian and Maghrebi varieties together. The authors build ShawarmaChats, a set of 30,000 six-turn, two-speaker dialogues derived from 10,000 Arabic Wikipedia paragraphs, with 10,000 dialogues per variety.
  6. From Graph to Text and Back: Semantic Fidelity in Automated Industrial Knowledge Graphs (2026)
    When LLMs turn knowledge-graph triples into prose, they can invent facts or drop relations. That is unacceptable in industrial settings, and checking every output by hand is too expensive. The authors propose a self-supervised round-trip loop to solve this. One LLM writes text from a set of triples, and a second LLM…

All works

8 works of theirs in our library, the most cited first; 6 with a page here, the others link their original until we summarise them.

  1. Vulgaris: Analysis of a Corpus for Middle-Age Varieties of Italian Language ↗Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects · no summary yetAndrea Zugarini, Matteo Tiezzi, Marco Maggini2020 · 1 citation
  2. Neural paraphrasing by automatically crawled and aligned sentence pairs ↗arXiv:2402.10558 · Proceedings of The 6th International Conference on Social Networks Analysis, Management and Security (SNAMS 2019) · no summary yetAchille Globo et al.2019 · 1 citation

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

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