---
title: "Who cites CaLMQA: Exploring culturally — 23 citing papers"
description: "23 papers of the Elamur Research library cite «CaLMQA: Exploring culturally specific long-form question answering across 23 languages»…"
canonical: "https://research.elamur.ai/free/en/papers/arora-2025-calmqa-exploring-culturally-specific-long/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [CaLMQA: Exploring culturally specific long-form…](https://md.research.elamur.ai/free/en/papers/arora-2025-calmqa-exploring-culturally-specific-long/) / cited by

# Who cites «CaLMQA: Exploring culturally specific long-form question answering across 23 languages»

23 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «CaLMQA: Exploring culturally specific long-form question answering across 23 languages»](https://md.research.elamur.ai/free/en/papers/arora-2025-calmqa-exploring-culturally-specific-long/)

1. [**INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge arXiv:2411.19799**Angelika Romanou, Negar Foroutan, Anna Sotnikova, et al.*2024 · 74 citations*](https://md.research.elamur.ai/free/en/papers/romanou-2024-include-evaluating-multilingual-language-understanding/)
2. **[AraDiCE: Benchmarks for Dialectal and Cultural Capabilities in LLMs](https://md.research.elamur.ai/free/en/papers/mousi-2025-aradice-benchmarks-dialectal-cultural-capabilities/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Basel Mousi, Nadir Durrani, Fatema Ahmad, et al.*2025 · 68 citations*
3. **[CulturalBench: A Robust, Diverse and Challenging Benchmark for Measuring LMs' Cultural Knowledge Through Human-AI Red-Teaming](https://md.research.elamur.ai/free/en/papers/chiu-2025-culturalbench-robust-diverse-challenging-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu Ying Chiu, Liwei Jiang, Bill Yuchen Lin, et al.*2025 · 38 citations*
4. **[Palm: A Culturally Inclusive and Linguistically Diverse Dataset for Arabic LLMs](https://md.research.elamur.ai/free/en/papers/alwajih-2025-palm-culturally-inclusive-linguistically-diverse/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fakhraddin Alwajih, Abdellah El Mekki, Samar Mohamed Magdy, et al.*2025 · 37 citations*
5. **[On The Origin of Cultural Biases in Language Models: From Pre-training Data to Linguistic Phenomena](https://md.research.elamur.ai/free/en/papers/naous-2025-origin-cultural-biases-language-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Tarek Naous, Wei Xu*2025 · 15 citations*
6. **[MarsadLab at PalmX Shared Task: An LLM Benchmark for Arabic Culture and Islamic Civilization](https://md.research.elamur.ai/free/en/papers/biswas-2025-marsadlab-palmx-shared-task-llm/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Md. Rafiul Biswas, Shimaa Ibrahim, Kais Attia, et al.*2025 · 1 citation*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/arora-2025-calmqa-exploring-culturally-specific-long/) — CaLMQA: Exploring culturally specific long-form question answering across 23 languages