---
title: "Who cites Better to Ask in English: — 14 citing papers"
description: "14 papers of the Elamur Research library cite «Better to Ask in English: Evaluation of Large Language Models on English, Low-resource and…"
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---
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# Who cites «Better to Ask in English: Evaluation of Large Language Models on English, Low-resource and Cross-Lingual Settings»

14 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · [← back to «Better to Ask in English: Evaluation of Large Language Models on English, Low-resource and Cross-Lingual Settings»](https://md.research.elamur.ai/free/en/papers/dey-2024-better-ask-english-evaluation-large/)

1. **[The Translation Barrier Hypothesis: Multilingual Generation with Large Language Models Suffers from Implicit Translation Failure](https://md.research.elamur.ai/free/en/papers/bafna-2025-translation-barrier-hypothesis-multilingual-generation/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Niyati Bafna, Tianjian Li, Kenton Murray, et al.*2025 · 7 citations*
2. **[A Context-aware Framework for Translation-mediated Conversations](https://md.research.elamur.ai/free/en/papers/pombal-2026-context-aware-framework-translation-mediated/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**José Pombal, Sweta Agrawal, Emmanouil Zaranis, et al.*2026 · 4 citations*
3. **[How Important is ‘Perfect' English for Machine Translation Prompts?](https://md.research.elamur.ai/free/en/papers/schmidtova-2026-how-important-is-perfect-english/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Patrícia Schmidtová, Niyati Bafna, Seth Aycock, et al.*2026 · 1 citation*
4. **[SynthLLM: An LLM-based Scalable Synthetic Data Generation Pipeline for Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/panahi-2026-synthllm-llm-based-scalable-synthetic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Solmaz Panahi, Vasudevan Nedumpozhimana, John Kelleher*2026 · 1 citation*
5. [**EDRAC: Benchmarking Arabic Dialect Reading Comprehension arXiv:2609.01113**Noor Abo Mokh, Kirill Chirkunov, Teresa Lynn, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mokh-2026-edrac-benchmarking-arabic-dialect-reading/)
6. [**LLM Probe: Evaluating LLMs for Low-Resource Languages arXiv:2603.29517**Hailay Kidu Teklehaymanot, Gebrearegawi Gebremariam, Wolfgang Nejdl*2026*](https://md.research.elamur.ai/free/en/papers/teklehaymanot-2026-llm-probe-evaluating-llms-low/)
7. **[Uslub at AbjadAuthorID Shared Task: A Comparative Analysis of Traditional Machine Learning and Transformer-Based Models for Authorship Attribution in Arabic and Urdu](https://md.research.elamur.ai/free/en/papers/alsuhaibani-2026-uslub-abjadauthorid-shared-task-comparative/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Shahad Alsuhaibani, Mohamed Alkaoud*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/dey-2024-better-ask-english-evaluation-large/) — Better to Ask in English: Evaluation of Large Language Models on English, Low-resource and Cross-Lingual Settings