---
title: "Who cites Erik Henriksson — 27 papers of our library"
description: "27 papers of the Elamur Research library cite the works of Erik Henriksson, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/erik-henriksson/cited-by/"
---
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# Who cites Erik Henriksson

27 citations of their works from 27 papers of our library (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · [← Erik Henriksson](https://md.research.elamur.ai/free/en/authors/erik-henriksson/)

1. **[Scaling Low-Resource MT via Synthetic Data Generation with LLMs](https://md.research.elamur.ai/free/en/papers/gibert-2025-scaling-low-resource-mt-synthetic/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ona de Gibert, Joseph Attieh, Teemu Vahtola, et al.*2025 · 15 citations*
2. **[Pretraining and Benchmarking Modern Encoders for Latvian](https://md.research.elamur.ai/free/en/papers/znotins-2026-pretraining-benchmarking-modern-encoders-latvian/) [Workshop on Language Models for Low-Resource Languages](https://md.research.elamur.ai/free/en/venues/loreslm/)**Arturs Znotins*2026 · 3 citations*
3. [**A Sovereign, Open-Source Foundation Model for German and English arXiv:2607.09424**Soofi-Team: Benedikt Droste, David Fitzek, Ruben Harle, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/droste-2026-sovereign-open-source-foundation-model/)
4. **[HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models](https://md.research.elamur.ai/free/en/papers/oepen-2026-hplt-3-0-very-large/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Stephan Oepen, Nikolay Arefyev, Mikko Aulamo, et al.*2026 · 1 citation*
5. **[Improving Latvian Morphosyntactic Parsing with Pretrained Encoders and Analyzer-Constrained Decoding](https://md.research.elamur.ai/free/en/papers/znotins-2026-improving-latvian-morphosyntactic-parsing-pretrained/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Arturs Znotins*2026 · 1 citation*
6. **[UppsalaNLP at EvaLatin 2026: Multilingual parsing for Latin](https://md.research.elamur.ai/free/en/papers/stymne-2026-uppsalanlp-evalatin-2026-multilingual-parsing/) [Workshop on Language Technologies for Historical and Ancient Languages @ LREC](https://md.research.elamur.ai/free/en/venues/lt4hala/)**Sara Stymne*2026 · 1 citation*
7. [**Mix, MinHash, and Match: Cross-Source Agreement for Multilingual Pretraining Datasets arXiv:2512.18834**Sultan Alrashed, Francesco Orabona*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alrashed-2025-mix-minhash-match-cross-source/)
8. **[Detecting Latin in Historical Books with Large Language Models: A Multimodal Benchmark](https://md.research.elamur.ai/free/en/papers/wu-2026-detecting-latin-historical-books-large/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yu Wu, Ke Shu, Jonas Fischer, et al.*2026*
9. **[Nanda Family: Open-Weights Generative Large Language Models for Hindi](https://md.research.elamur.ai/free/en/papers/singh-2026-nanda-family-open-weights-generative/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Aaryamonvikram Singh, Debopriyo Banerjee, Dhruv Sahnan, et al.*2026*
10. **[ParsCORE: The Persian Corpus of Online Registers](https://md.research.elamur.ai/free/en/papers/razzaghi-2026-parscore-persian-corpus-online-registers/) [Proceedings of the Workshop on NLP and LLMs for the Iranian Language Family](https://md.research.elamur.ai/free/en/venues/silkroadnlp/)**Alireza Razzaghi, Erik Henriksson, Veronika Laipalla*2026*
11. **[Quality and Appropriateness of Large Text Datasets for Irish NLP](https://md.research.elamur.ai/free/en/papers/walsh-2026-quality-appropriateness-large-text-datasets/) [SIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages](https://md.research.elamur.ai/free/en/venues/sigul/)**Abigail Walsh, Mark Andrade, Jane Lauren Adkins, et al.*2026*

16 more citing papers of our library have no page here yet.

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