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Michael Gunther

Michael Gunther has 2 papers in our library, in 2023–2024, most of them on Multilingual & cross-lingual NLP; often with Bo Wang, Georgios Mastrapas, Isabelle Mohr.

2 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 9 · 27 works · 578 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 240 times in our library · ⭐ Paper Stars ranking: #6652

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

🎓Technische Universität DresdenDresden · Germany2013–2022 · 12 papersEmployment 2018–2021 · Research Assistant, Dresden Database Systems Group🏢Jina AIBerlin · Germany2022–2025 · 3 papersEmployment 2022–2025 · Machine Learning Scientist🏥Herzzentrum Dresden UniversitätsklinikDresden · Germany2013–2022 · 3 papers
🏛️ElasticBerlin · Germany2025Employment since 2025 · Principal AI Research Engineer I, Jina

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 worksComputer Vision and Pattern Recognition · 2 worksInformation Systems · 2 worksLanguage and Linguistics · 2 works

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

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. jina-embeddings-v3: Multilingual Embeddings With Task LoRA (2024 · 109 citations)
    General-purpose text embedding models often still need task-specific fine-tuning. LLM-based embedders, typically around 7B parameters, are expensive to deploy for small gains. The authors present jina-embeddings-v3, a 570M-parameter multilingual encoder built on XLM-RoBERTa, keeping its original tokenizer. They…
  2. Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents (2023 · 75 citations)
    Most open-source text embedding models inherit BERT's 512-token input limit. Long documents must therefore be truncated or split into chunks, which fragments their meaning and multiplies the number of vectors to store and search. The Jina AI team presents Jina Embeddings v2, an English embedding suite that accepts…

 Co-authors here

9 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 240 times (of the 149,439 papers whose bibliographies we read); 63 citing papers with a page here →.

Updated

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