--- title: "Ningbo — research institutions and their papers in our library" description: "Ningbo (China): 2 institutions with papers on Elamur Research — 2 universities — and 239 citations of their works." canonical: "https://research.elamur.ai/free/en/agglomerations/ningbo/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/agglomerations/ningbo/) [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/) / Ningbo # Ningbo Agglomeration [China](https://md.research.elamur.ai/free/en/countries/china/) · metro population 3,737,732 (functional urban area, GHSL 2015) **2** institutions with a page**7** works in our library**239** citations of their works ## Institutions (2) 2 universities. ### 🎓 Universities (2) 1. **[University of Nottingham Ningbo China](https://md.research.elamur.ai/free/en/universities/university-of-nottingham-ningbo-china/)**University · Ningbo, [China](https://md.research.elamur.ai/free/en/countries/china/)*3 works · 216 citations* 2. **[Eastern Institute of Technology, Ningbo](https://md.research.elamur.ai/free/en/universities/eastern-institute-of-technology-ningbo/)**University · Ningbo, [China](https://md.research.elamur.ai/free/en/countries/china/)*4 works · 23 citations* ## Works in our library (7) Works of its institutions, the most cited first. 1. **[SGM: Sequence Generation Model for Multi-label Classification](https://md.research.elamur.ai/free/en/papers/yang-2018-sgm-sequence-generation-model-multi/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Pengcheng Yang, Xu Sun, Wei Li, et al.*2018 · 146 citations* 2. **[How Furiously Can Colorless Green Ideas Sleep? Sentence Acceptability in Context](https://md.research.elamur.ai/free/en/papers/lau-2020-how-furiously-can-colorless-green/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jey Han Lau, Carlos Armendariz, Shalom Lappin, et al.*2020 · 69 citations* 3. [**From Calculation to Adjudication: Examining LLM judges on Mathematical Reasoning Tasks arXiv:2409.04168**Andreas Stephan, Dawei Zhu, Matthias Aßenmacher, et al.*2024 · 13 citations*](https://md.research.elamur.ai/free/en/papers/stephan-2024-calculation-adjudication-examining-llm-judges/) 4. [**InternLM-Law: An Open Source Chinese Legal Large Language Model arXiv:2406.14887**Zhiwei Fei, Songyang Zhang, Xiaoyu Shen, et al.*2024 · 9 citations*](https://md.research.elamur.ai/free/en/papers/fei-2024-internlm-law-open-source/) 5. **[Revealing Procedural Reasoning Structures in Chain-of-Thought Training via Span-Level Gradient Organization](https://md.research.elamur.ai/free/en/papers/liu-2026-revealing-procedural-reasoning-structures-chain/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jia Liu, Jiaxin Luo, Weiwen Xu, et al.*2026 · 1 citation* 6. **[From Static Inference to Dynamic Interaction: A Survey of Streaming Large Language Models](https://md.research.elamur.ai/free/en/papers/tong-2026-static-inference-dynamic-interaction-survey/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Junlong Tong, Zilong Wang, YuJie Ren, et al.*2026 · 1 citation* 7. **[Natural-Language Policies to Executable Decisions: An Interpretable Large Language Model Framework](https://md.research.elamur.ai/free/en/papers/zhang-2026-natural-language-policies-executable-decisions/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziqiang Zhang, Jing Ma, Zilong Wang, et al.*2026* ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/agglomerations/ningbo/year/2026/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/agglomerations/ningbo/year/2024/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/ningbo/year/2020/) ### 2010s [**2018** 1 paper](https://md.research.elamur.ai/free/en/agglomerations/ningbo/year/2018/) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 9 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 7 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 7 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Cognitive Neuroscience · 1 work](https://md.research.elamur.ai/free/en/shelves/neuroscience/cognitive-neuroscience/) · [Neuroscience · 1 work](https://md.research.elamur.ai/free/en/shelves/neuroscience/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Law · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/law/) · [Political Science and International Relations · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) 🧭 Topics 3 Research subjects and languages the work is about.[Legal AI · 1 work](https://md.research.elamur.ai/free/en/topics/legal-ai/) · [Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) 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/china/) — China Updated 2 November 2026