---
title: "Who cites Can LLMs Augment — 16 citing papers"
description: "16 papers of the Elamur Research library cite «Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and…"
canonical: "https://research.elamur.ai/free/en/papers/samuel-2023-llms-augment-low-resource-reading/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/samuel-2023-llms-augment-low-resource-reading/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Can LLMs Augment Low-Resource Reading…](https://md.research.elamur.ai/free/en/papers/samuel-2023-llms-augment-low-resource-reading/) / cited by

# Who cites «Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and Challenges»

16 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 «Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and Challenges»](https://md.research.elamur.ai/free/en/papers/samuel-2023-llms-augment-low-resource-reading/)

1. **[Enhancing Arabic Automated Essay Scoring with Synthetic Data and Error Injection](https://md.research.elamur.ai/free/en/papers/qwaider-2025-enhancing-arabic-automated-essay-scoring/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Chatrine Qwaider, Bashar Alhafni, Kirill Chirkunov, et al.*2025 · 13 citations*
2. **[Position: LLMs Can be Good Tutors in English Education](https://md.research.elamur.ai/free/en/papers/ye-2025-position-llms-can-be-good/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jingheng Ye, Shen Wang, Deqing Zou, et al.*2025 · 9 citations*
3. **[When LLMs Annotate: Reliability Challenges in Low-Resource NLI](https://md.research.elamur.ai/free/en/papers/panahi-2026-when-llms-annotate-reliability-challenges/) [Workshop on Language Models for Low-Resource Languages](https://md.research.elamur.ai/free/en/venues/loreslm/)**Solmaz Panahi, John Kelleher, Vasudevan Nedumpozhimana*2026 · 1 citation*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/samuel-2023-llms-augment-low-resource-reading/) — Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and Challenges
