--- title: "Mehdi Ali — author profile and papers — Elamur Research" description: "Mehdi Ali, Fraunhofer Institute for Intelligent Analysis and Information Systems: 2 papers on Elamur Research (2024–2026), h-index 9…" canonical: "https://research.elamur.ai/free/en/authors/mehdi-ali/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/mehdi-ali/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Mehdi Ali # Mehdi Ali Mehdi Ali has 2 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Tokenization & segmentation](https://md.research.elamur.ai/free/en/topics/tokenization/); often with [Michael Fromm](https://md.research.elamur.ai/free/en/authors/michael-fromm/), [Abbas Goher Khan](https://md.research.elamur.ai/free/en/authors/abbas-goher-khan/), [Jan Ebert](https://md.research.elamur.ai/free/en/authors/jan-ebert/). 2 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5011914487) · [ORCID](https://orcid.org/0000-0003-1653-3920) · [Wikidata](https://www.wikidata.org/wiki/Q58903448) · [**h-index 9**](https://openalex.org/authors/A5011914487) · [36 works](https://openalex.org/works?filter=author.id:A5011914487) · [392 citations](https://openalex.org/works?filter=author.id:A5011914487&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/mehdi-ali/#papers) · [🔗 Cited 93 times in our library](https://md.research.elamur.ai/free/en/authors/mehdi-ali/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7830](https://md.research.elamur.ai/free/en/paper-stars/page/79/#star-7830) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Mehdi+Ali) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Mehdi+Ali) · [dblp](https://dblp.org/search?q=Mehdi+Ali) · [ACL Anthology](https://aclanthology.org/search/?q=Mehdi+Ali) ## Affiliations [🔬**Fraunhofer Institute for Intelligent Analysis and Information Systems** Sankt Augustin · Germany 2019–2026 · 18 papers*current*](https://md.research.elamur.ai/free/en/labs/fraunhofer-institute-for-intelligent-analysis-and-information-systems/) · [🎓**University of Bonn** Bonn · Germany 2018–2022 · 13 papersEmployment since 2018](https://md.research.elamur.ai/free/en/universities/university-of-bonn/) · [🔬**Lamarr Institute for Machine Learning and Artificial Intelligence** Sankt Augustin · Germany 2023–2025 · 11 papers](https://md.research.elamur.ai/free/en/labs/lamarr-institute-for-machine-learning-and-artificial-intelligence/) · [🔬**Fraunhofer Institute for Algorithms and Scientific Computing** Sankt Augustin · Germany 2015–2018Employment 2015–2018](https://ror.org/00trw9c49) 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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Tokenization & segmentation · 1 work](https://md.research.elamur.ai/free/en/topics/tokenization/) 💡 Concepts 2 Key ideas and methods explained on our concept pages.[Subword tokenization · 1 work](https://md.research.elamur.ai/free/en/concepts/subword-tokenization/) · [Tokenization · 1 work](https://md.research.elamur.ai/free/en/concepts/tokenization/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/mehdi-ali/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/mehdi-ali/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Tokenizer Choice For LLM Training: Negligible or Crucial?](https://md.research.elamur.ai/free/en/papers/ali-2024-tokenizer-choice-llm-training-negligible/)** *(2024 · 104 citations)* Tokenizers are rarely examined when building LLMs. This paper asks whether the choice of tokenizer measurably affects decoder-only model quality and training cost, in both English-only and multilingual settings. The authors built two training corpora of 70B words each, with matched domain mixtures (80% web-crawled… 2. **[KletterMix: Climbing Toward High-Quality German Pretraining Data - The Full Report](https://md.research.elamur.ai/free/en/papers/kraus-2026-klettermix-climbing-toward-high-quality/)** *(2026 · 1 citation)* Open German pretraining data still trails English. Native German collections are usually smaller, noisier, less documented, and seldom tested by actually training models on them. The authors take a different route: instead of crawling more German web text, they machine-translate a strong English mixture, ClimbMix… ## 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. **[Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework ↗](https://doi.org/10.1109/tpami.2021.3124805) arXiv:2006.13365 · no summary yet**Mehdi Ali et al.*2020 · 142 citations* 2. **[Tokenizer Choice For LLM Training: Negligible or Crucial?](https://md.research.elamur.ai/free/en/papers/ali-2024-tokenizer-choice-llm-training-negligible/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mehdi Ali, Michael Fromm, Klaudia Thellmann, et al.*2024 · 104 citations* 3. [**KletterMix: Climbing Toward High-Quality German Pretraining Data - The Full Report arXiv:2606.03773**Maurice Kraus, Ruben Harle, Sebastian Sztwiertnia, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/kraus-2026-klettermix-climbing-toward-high-quality/) ## Co-authors here 11 co-authors with a page, the most papers together first. - [Michael Fromm](https://md.research.elamur.ai/free/en/authors/michael-fromm/) ×2 - [Abbas Goher Khan](https://md.research.elamur.ai/free/en/authors/abbas-goher-khan/) - [Jan Ebert](https://md.research.elamur.ai/free/en/authors/jan-ebert/) - [Johannes Leveling](https://md.research.elamur.ai/free/en/authors/johannes-leveling/) - [Klaudia Thellmann](https://md.research.elamur.ai/free/en/authors/klaudia-thellmann/) - [Kristian Kersting](https://md.research.elamur.ai/free/en/authors/kristian-kersting/) - [Maurice Kraus](https://md.research.elamur.ai/free/en/authors/maurice-kraus/) - [Nicolas Flores-Herr](https://md.research.elamur.ai/free/en/authors/nicolas-flores-herr/) - [Richard Rutmann](https://md.research.elamur.ai/free/en/authors/richard-rutmann/) - [Ruben Harle](https://md.research.elamur.ai/free/en/authors/ruben-harle/) - [Sebastian Sztwiertnia](https://md.research.elamur.ai/free/en/authors/sebastian-sztwiertnia/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/) ## Cited by Papers of our library cite their works 93 times (of the 149,439 papers whose bibliographies we read); [30 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/mehdi-ali/cited-by/). Updated 31 October 2026