---
title: "Who cites Learning Simplifications for Specific Target Audiences"
description: "76 papers of the Elamur Research library cite «Learning Simplifications for Specific Target Audiences», found in their bibliographies; the most…"
canonical: "https://research.elamur.ai/free/en/papers/scarton-2018-learning-simplifications-specific-target-audiences/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Learning Simplifications for Specific Target…](https://md.research.elamur.ai/free/en/papers/scarton-2018-learning-simplifications-specific-target-audiences/) / cited by

# Who cites «Learning Simplifications for Specific Target Audiences»

76 papers of our library cite it (of the 141,840 whose bibliographies we read) · 8 with a page here, the most cited first · [← back to «Learning Simplifications for Specific Target Audiences»](https://md.research.elamur.ai/free/en/papers/scarton-2018-learning-simplifications-specific-target-audiences/)

1. **[Data-Driven Sentence Simplification: Survey and Benchmark](https://md.research.elamur.ai/free/en/papers/manchego-2020-data-driven-sentence-simplification-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Fernando Alva-Manchego, Carolina Scarton, Lucia Specia*2020 · 213 citations*
2. **[Controllable Text Simplification with Explicit Paraphrasing](https://md.research.elamur.ai/free/en/papers/maddela-2021-controllable-text-simplification-explicit-paraphrasing/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Mounica Maddela, Fernando Alva-Manchego, Wei Xu*2021 · 164 citations*
3. **[HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM](https://md.research.elamur.ai/free/en/papers/wang-2024-helpsteer-multi-attribute-helpfulness-dataset/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Zhilin Wang, Yi Dong, Jiaqi Zeng, et al.*2024 · 69 citations*
4. **[Let's Simplify Step by Step: Guiding LLM Towards Multilingual Unsupervised Proficiency-Controlled Sentence Simplification](https://md.research.elamur.ai/free/en/papers/zhang-2026-let-s-simplify-step-step/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jingshen Zhang, Xin Ying Qiu, Lifang Lu, et al.*2026 · 3 citations*
5. **[Controllable Sentence Simplification in Italian: Fine-Tuning Large Language Models on Automatically Generated Resources](https://md.research.elamur.ai/free/en/papers/papucci-2026-controllable-sentence-simplification-italian-fine/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Michele Papucci, Giulia Venturi, Felice Dell'Orletta*2026*
6. [**Exploring Cognitively Informed Sentence Simplification with Gaze-Guided Text Generation Proceedings fo the Second International Workshop on Eye-Tracking Resources and Evaluation for Human-Aligned NLP**Andreas Säuberli, Diego Frassinelli, Barbara Plank*2026*](https://md.research.elamur.ai/free/en/papers/sauberli-2026-exploring-cognitively-informed-sentence-simplification/)
7. **[Proficiency-Controlled Text Simplification in European Portuguese: A Preliminary Study using Prompting Approaches](https://md.research.elamur.ai/free/en/papers/ribeiro-2026-proficiency-controlled-text-simplification-european/) [Joint Workshop on Readability and Text Simplification (READIxTSAR) @ LREC](https://md.research.elamur.ai/free/en/venues/readi/)**Eugénio Ribeiro, David Antunes, Nuno Mamede, et al.*2026*
8. **[Simplify-Pro: A Two-level and Progressive LLM-based Framework for Auto Long Text Simplification](https://md.research.elamur.ai/free/en/papers/zhou-2026-simplify-pro-two-level-progressive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Peng Zhou, Guangxin Li, Xiaoying Huang, et al.*2026*

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

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