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Markus Krimmel

Markus Krimmel has 2 papers in our library, in 2024, most of them on Multilingual & cross-lingual NLP; often with Bo Wang, Feng Wang, Georgios Mastrapas.

2 papers in our library · 2024

OpenAlex · ORCID · h-index 3 · 15 works · 92 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 140 times in our library · ⭐ Paper Stars ranking: #6229

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

🔬Max Planck Institute of BiochemistryMartinsried · Germany2025 · 2 papers🏢Jina AIBerlin · Germany2024 · 2 papers🔬Max Planck Institute for Intelligent SystemsStuttgart · Germany2022–2024 · 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 6The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 workLanguage and Linguistics · 1 work

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

 Works by year

2020s

20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Gymnasium: A Standard Interface for Reinforcement Learning Environments (2024 · 113 citations)
    Progress in reinforcement learning has been slowed by inconsistent environment and algorithm implementations, which makes results hard to compare and reuse.
  2. 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…

 Co-authors here

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

 Cited by

Papers of our library cite their works 140 times (of the 149,439 papers whose bibliographies we read); 27 citing papers with a page here →.

Updated

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