---
title: "Who cites DRAMA: Diverse Augmentation — 8 citing papers"
description: "8 papers of the Elamur Research library cite «DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers»…"
canonical: "https://research.elamur.ai/free/en/papers/ma-2025-drama-diverse-augmentation-large-language/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/ma-2025-drama-diverse-augmentation-large-language/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [DRAMA: Diverse Augmentation from Large Language…](https://md.research.elamur.ai/free/en/papers/ma-2025-drama-diverse-augmentation-large-language/) / cited by

# Who cites «DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers»

8 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers»](https://md.research.elamur.ai/free/en/papers/ma-2025-drama-diverse-augmentation-large-language/)

1. **[PL-MTEB: Polish Massive Text Embedding Benchmark](https://md.research.elamur.ai/free/en/papers/poswiata-2026-pl-mteb-polish-massive-text/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rafał Poświata, Sławomir Dadas, Michał Wiktor Perełkiewicz*2026 · 16 citations*
2. **[New Encoders for German Trained from Scratch: Comparing ModernGBERT with Converted LLM2Vec Models](https://md.research.elamur.ai/free/en/papers/wunderle-2026-new-encoders-german-trained-scratch/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Julia Wunderle, Anton Ehrmanntraut, Jan Pfister, et al.*2026 · 7 citations*
3. **[DRAGON: Domain-specific Robust Automatic Data Generation for RAG Optimization](https://md.research.elamur.ai/free/en/papers/shen-2026-dragon-domain-specific-robust-automatic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haiyang Shen, Hang Yan, Zhongshi Xing, et al.*2026 · 1 citation*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/ma-2025-drama-diverse-augmentation-large-language/) — DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers