---
title: "Who cites LuxEmbedder: A Cross-Lingual — 8 citing papers"
description: "8 papers of the Elamur Research library cite «LuxEmbedder: A Cross-Lingual Approach to Enhanced Luxembourgish Sentence Embeddings»…"
canonical: "https://research.elamur.ai/free/en/papers/philippy-2025-luxembedder-cross-lingual-approach-enhanced/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/philippy-2025-luxembedder-cross-lingual-approach-enhanced/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [LuxEmbedder: A Cross-Lingual Approach to Enhanced…](https://md.research.elamur.ai/free/en/papers/philippy-2025-luxembedder-cross-lingual-approach-enhanced/) / cited by

# Who cites «LuxEmbedder: A Cross-Lingual Approach to Enhanced Luxembourgish Sentence Embeddings»

8 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «LuxEmbedder: A Cross-Lingual Approach to Enhanced Luxembourgish Sentence Embeddings»](https://md.research.elamur.ai/free/en/papers/philippy-2025-luxembedder-cross-lingual-approach-enhanced/)

1. [**LuxInstruct: A Cross-Lingual Instruction Tuning Dataset For Luxembourgish arXiv:2510.07074**Fred Philippy, Laura Bernardy, Siwen Guo, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/philippy-2025-luxinstruct-cross-lingual-instruction-tuning/)
2. **[Towards Simulating Social Media Users with LLMs: Evaluating the Operational Validity of Conditioned Comment Prediction](https://md.research.elamur.ai/free/en/papers/schwager-2026-simulating-social-media-users-llms/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Nils Schwager, Simon Münker, Alistair Plum, et al.*2026 · 1 citation*
3. **[A Fine-Grained Linguistic Evaluation of Low-Resource Luxembourgish–English MT](https://md.research.elamur.ai/free/en/papers/rehlinger-2026-fine-grained-linguistic-evaluation-low/) [Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT)](https://md.research.elamur.ai/free/en/venues/loresmt/)**Nils Rehlinger*2026*
4. **[A Recipe for Adapting Multilingual Embedders to OCR-Error Robustness and Historical Texts](https://md.research.elamur.ai/free/en/papers/michail-2026-recipe-adapting-multilingual-embedders-ocr/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Andrianos Michail, Stylianos Psychias, Juri Opitz, et al.*2026*
5. **[Bi-Text Mining across German Dialects: On the Role of Synthetic Training Data for Dialect Adaptation](https://md.research.elamur.ai/free/en/papers/wang-2026-bi-text-mining-across-german/) [Workshop on Building and Using Comparable Corpora (BUCC)](https://md.research.elamur.ai/free/en/venues/bucc/)**Jing Wang, Barbara Plank, Robert Litschko*2026*
6. **[Why Low-Resource NLP Needs More Than Cross-Lingual Transfer: Lessons Learned from Luxembourgish](https://md.research.elamur.ai/free/en/papers/philippy-2026-why-low-resource-nlp-needs/) [Big Picture v2: Crafting a Research Narrative](https://md.research.elamur.ai/free/en/venues/bigpicture/)**Fred Philippy, Siwen Guo, Jacques Klein, et al.*2026*

2 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/philippy-2025-luxembedder-cross-lingual-approach-enhanced/) — LuxEmbedder: A Cross-Lingual Approach to Enhanced Luxembourgish Sentence Embeddings