---
title: "Who cites Julia Wunderle — 20 papers of our library"
description: "20 papers of the Elamur Research library cite the works of Julia Wunderle, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/julia-wunderle/cited-by/"
---
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# Who cites Julia Wunderle

21 citations of their works from 20 papers of our library (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · [← Julia Wunderle](https://md.research.elamur.ai/free/en/authors/julia-wunderle/)

1. [**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/)
2. **[German4All – A Dataset and Model for Readability-Controlled Paraphrasing in German](https://md.research.elamur.ai/free/en/papers/anschutz-2025-german4all-dataset-model-readability-controlled/) [International Natural Language Generation Conference (INLG)](https://md.research.elamur.ai/free/en/venues/inlg/)**Miriam Anschütz, Thanh Mai Pham, Eslam Nasrallah, et al.*2025 · 1 citation*
3. [**Comparing and Modeling Argumentation in German Political Communication across Arenas arXiv:2608.00288**Nina Vikhrova, Johannes Kuhling, Sebastian Haunss, et al.*2026*](https://md.research.elamur.ai/free/en/papers/vikhrova-2026-comparing-modeling-argumentation-german-political/)
4. **[GePaDeSE: A New Resource for Clause-Level Aspect in German Parliamentary Debates](https://md.research.elamur.ai/free/en/papers/schlenker-2026-gepadese-new-resource-clause-level/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Julian Schlenker, Ines Rehbein, Lilly Brauner, et al.*2026*
5. [**Nürnberg NLP @ GermEval Shared Task 2026: Harmful Content Detection in German Social Media through Error-Independent LLM Voters arXiv:2608.22246**Philipp Steigerwald, Eric Rudolph, Jens Albrecht*2026*](https://md.research.elamur.ai/free/en/papers/steigerwald-2026-n-urnberg-nlp-germeval-shared/)
6. [**Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language Modeling arXiv:2604.28075**Ansar Aynetdinov, Patrick Haller, Alan Akbik*2026*](https://md.research.elamur.ai/free/en/papers/aynetdinov-2026-repetition-over-diversity-high-signal/)
7. **[Revisiting German Complex Word Identification: Contextualized LLMs and Feature Injection](https://md.research.elamur.ai/free/en/papers/schomacker-2026-revisiting-german-complex-word-identification/) [Joint Workshop on Readability and Text Simplification (READIxTSAR) @ LREC](https://md.research.elamur.ai/free/en/venues/readi/)**Thorben Schomacker, Seid Muhie Yimam, Chris Biemann, et al.*2026*

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

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