--- title: "Springdale — research institutions and their papers in our library" description: "Springdale (United States): 1 institutions with papers on Elamur Research — 1 university — and 272 citations of their works." canonical: "https://research.elamur.ai/free/en/agglomerations/springdale/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/agglomerations/springdale/) [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/) / Springdale # Springdale Agglomeration [United States](https://md.research.elamur.ai/free/en/countries/united-states/) · metro population 201,545 (functional urban area, GHSL 2015) **1** institution with a page**3** works in our library**272** citations of their works ## Institutions (1) 1 university. ### 🎓 Universities (1) 1. **[University of Arkansas at Fayetteville](https://md.research.elamur.ai/free/en/universities/university-of-arkansas-at-fayetteville/)**University · Fayetteville, [United States](https://md.research.elamur.ai/free/en/countries/united-states/)*3 works · 272 citations* ## Works in our library (3) Works of its institutions, the most cited first. 1. **[Humanity's Last Exam](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/) [Nature](https://md.research.elamur.ai/free/en/venues/nature/)**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 256 citations* 2. **[Soft Prompting for Unlearning in Large Language Models](https://md.research.elamur.ai/free/en/papers/bhaila-2025-soft-prompting-unlearning-large-language/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Karuna Bhaila, Minh-Hao Van, Xintao Wu*2025 · 16 citations* 3. **[ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/nkhata-2026-clusterrag-cluster-based-collaborative-filtering/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gibson Nkhata, Uttamasha Anjally Oyshi, Quan Mai, et al.*2026* ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/springdale/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/agglomerations/springdale/year/2025/) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) 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 1 November 2026