---
title: "Who cites Evaluating Language Models as — 27 citing papers"
description: "27 papers of the Elamur Research library cite «Evaluating Language Models as Synthetic Data Generators», found in their bibliographies; the…"
canonical: "https://research.elamur.ai/free/en/papers/kim-2025-evaluating-language-models-as-synthetic/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Evaluating Language Models as Synthetic Data…](https://md.research.elamur.ai/free/en/papers/kim-2025-evaluating-language-models-as-synthetic/) / cited by

# Who cites «Evaluating Language Models as Synthetic Data Generators»

27 papers of our library cite it (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · [← back to «Evaluating Language Models as Synthetic Data Generators»](https://md.research.elamur.ai/free/en/papers/kim-2025-evaluating-language-models-as-synthetic/)

1. **[Small Models Struggle to Learn from Strong Reasoners](https://md.research.elamur.ai/free/en/papers/li-2025-small-models-struggle-learn-strong/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuetai Li, Xiang Yue, Zhangchen Xu, et al.*2025 · 61 citations*
2. **[Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation](https://md.research.elamur.ai/free/en/papers/zhang-2026-find-your-optimal-teacher-personalized/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hengyuan Zhang, Shiping Yang, Xiao Liang, et al.*2026 · 13 citations*
3. **[RECAP: REwriting Conversations for Intent Understanding in Agentic Planning](https://md.research.elamur.ai/free/en/papers/mitra-2026-recap-rewriting-conversations-intent-understanding/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kushan Mitra, Dan Zhang, Hannah Kim, et al.*2026 · 1 citation*
4. **[Synthetic Doctor-Patient Dialogue Generation for Robust Medical ASR: A Scalable Pipeline for Vocabulary Expansion and Privacy Preservation](https://md.research.elamur.ai/free/en/papers/liu-2026-synthetic-doctor-patient-dialogue-generation/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Kefei Liu, Meizhu Liu*2026 · 1 citation*
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. [**Computational models of pragmatic reasoning with flexible generation of meaning and expression alternatives arXiv:2607.18443**Polina Tsvilodub, Fausto Carcassi, Michael Franke*2026*](https://md.research.elamur.ai/free/en/papers/tsvilodub-2026-computational-models-pragmatic-reasoning-flexible/)
7. **[ExStrucTiny: A Benchmark for Schema-Variable Structured Information Extraction from Document Images](https://md.research.elamur.ai/free/en/papers/sibue-2026-exstructiny-benchmark-schema-variable-structured/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Mathieu Sibue, Andrés Muñoz Garza, Samuel Mensah, et al.*2026*
8. **[TextMineX: Data, Evaluation Framework and Ontology-guided LLM Pipeline for Humanitarian Mine Action](https://md.research.elamur.ai/free/en/papers/zhou-2026-textminex-data-evaluation-framework-ontology/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenyue Zhou, Gürkan Solmaz, Flavio Cirillo, et al.*2026*
9. [**Classifying German Language Proficiency Levels Using Large Language Models arXiv:2512.06483**Elias-Leander Ahlers; Witold Brunsmann;, Malte Schilling*2025*](https://md.research.elamur.ai/free/en/papers/ahlers-2025-classifying-german-language-proficiency-levels/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/kim-2025-evaluating-language-models-as-synthetic/) — Evaluating Language Models as Synthetic Data Generators
