--- title: "Virginia Beach — research institutions and their papers" description: "Virginia Beach (United States): 1 institutions with papers on Elamur Research — 1 university — and 340 citations of their works." canonical: "https://research.elamur.ai/free/en/agglomerations/virginia-beach/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/agglomerations/virginia-beach/) [home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [agglomerations](https://md.research.elamur.ai/free/en/agglomerations/) / Virginia Beach # Virginia Beach Agglomeration [United States](https://md.research.elamur.ai/free/en/countries/united-states/) · metro population 1,624,469 (functional urban area, GHSL 2015) **1** institution with a page**2** works in our library**340** citations of their works ## Institutions (1) 1 university. ### 🎓 Universities (1) 1. **[William & Mary](https://md.research.elamur.ai/free/en/universities/william-mary/)**University · Williamsburg, [United States](https://md.research.elamur.ai/free/en/countries/united-states/)*2 works · 340 citations* ## Works in our library (2) Works of its institutions, the most cited first. 1. [**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/) 2. [**Large Language Models Understand and Can be Enhanced by Emotional Stimuli arXiv:2307.11760**Cheng Li, Jindong Wang, Yixuan Zhang, et al.*2023 · 114 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-large-language-models-understand-enhanced/) ## Works by year ### 2020s [**2024** 1 work Works of Virginia Beach from 2024](https://md.research.elamur.ai/free/en/papers/huang-2024-trustllm-trustworthiness-large-language-models/) · [**2023** 1 work Works of Virginia Beach from 2023](https://md.research.elamur.ai/free/en/papers/li-2023-large-language-models-understand-enhanced/) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) Agglomerations: the GHSL Urban Centre Database 2025; populations: the GHSL functional urban areas 2015 (urban centre and commuting zone), else the urban centre, as each page says (European Commission, Joint Research Centre, CC BY 4.0). An institution belongs to the urban centre its coordinates (ROR, OpenAlex) fall in, or one within 5 km. Land: Natural Earth. - [← back to](https://md.research.elamur.ai/free/en/countries/united-states/) — United States Updated 24 October 2026