---
title: "Who cites A Survey of Large Language — 59 citing papers"
description: "59 papers of the Elamur Research library cite «A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to…"
canonical: "https://research.elamur.ai/free/en/papers/he-2023-survey-large-language-models-healthcare/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/he-2023-survey-large-language-models-healthcare/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [A Survey of Large Language Models for Healthcare…](https://md.research.elamur.ai/free/en/papers/he-2023-survey-large-language-models-healthcare/) / cited by

# Who cites «A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics»

59 papers of our library cite it (of the 141,840 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics»](https://md.research.elamur.ai/free/en/papers/he-2023-survey-large-language-models-healthcare/)

1. **[BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains](https://md.research.elamur.ai/free/en/papers/labrak-2024-biomistral-collection-open-source-pretrained/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yanis Labrak, Adrien Bazoge, Emmanuel Morin, et al.*2024 · 408 citations*
2. [**TrustLLM: Trustworthiness in Large Language Models arXiv:2401.05561**Yue Huang, Lichao Sun, Haoran Wang, et al.*2024 · 226 citations*](https://md.research.elamur.ai/free/en/papers/huang-2024-trustllm-trustworthiness-large-language-models/)
3. [**Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models arXiv:2503.16419**Yang Sui, Yu-Neng Chuang, Guanchu Wang, et al.*2025 · 153 citations*](https://md.research.elamur.ai/free/en/papers/sui-2025-stop-overthinking-survey-efficient-reasoning/)
4. [**A Survey of Large Language Models in Medicine: Progress, Application, and Challenge arXiv:2311.05112**Hongjian Zhou, Fenglin Liu, Boyang Gu, et al.*2023 · 87 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2023-survey-large-language-models-medicine/)
5. [**Evaluating the Effectiveness of the Foundational Models for Q&A Classification in Mental Health care arXiv:2406.15966**Hassan Alhuzali, Ashwag Alasmari*2024*](https://md.research.elamur.ai/free/en/papers/alhuzali-2024-evaluating-effectiveness-foundational-models-q/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/he-2023-survey-large-language-models-healthcare/) — A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics