---
title: "Who cites Benchmarking Large Language — 50 citing papers"
description: "50 papers of the Elamur Research library cite «Benchmarking Large Language Models on Answering and Explaining Challenging Medical…"
canonical: "https://research.elamur.ai/free/en/papers/chen-2025-benchmarking-large-language-models-answering/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Benchmarking Large Language Models on Answering…](https://md.research.elamur.ai/free/en/papers/chen-2025-benchmarking-large-language-models-answering/) / cited by

# Who cites «Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions»

50 papers of our library cite it (of the 141,840 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions»](https://md.research.elamur.ai/free/en/papers/chen-2025-benchmarking-large-language-models-answering/)

1. **[Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2025-towards-reasoning-era-survey-long/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Qiguang Chen, Libo Qin, Jinhao Liu, et al.*2025 · 174 citations*
2. [**MedArabiQ: Benchmarking Large Language Models on Arabic Medical Tasks arXiv:2505.03427**Mouath Abu Daoud, Chaimae Abouzahir, Leen Kharouf, et al.*2025 · 22 citations*](https://md.research.elamur.ai/free/en/papers/daoud-2025-medarabiq-benchmarking-large-language-models/)
3. [**MedAraBench: Large-Scale Arabic Medical Question Answering Dataset and Benchmark arXiv:2602.01714**Mouath Abu-Daoud, Leen Kharouf, Omar El Hajj, et al.*2026 · 5 citations*](https://md.research.elamur.ai/free/en/papers/abu-daoud-2026-medarabench-large-scale-arabic-medical/)
4. **[Benchmark Data Contamination in Underrepresented Languages: A Comprehensive Analysis Using Brazilian Data](https://md.research.elamur.ai/free/en/papers/vilar-2026-benchmark-data-contamination-underrepresented-languages/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Iriedson Souto Maior de Moraes Vilar, David Candeia Maia, João Brunet, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/chen-2025-benchmarking-large-language-models-answering/) — Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions
