--- title: "Tianjin — research institutions and their papers" description: "Tianjin (China): 2 institutions with papers on Elamur Research — 2 universities — and 1,270 citations of their works." canonical: "https://research.elamur.ai/free/en/agglomerations/tianjin/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/agglomerations/tianjin/) [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/) / Tianjin # Tianjin Agglomeration [China](https://md.research.elamur.ai/free/en/countries/china/) · metro population 8,317,096 (functional urban area, GHSL 2015) **2** institutions with a page**11** works in our library**1,270** citations of their works ## Institutions (2) 2 universities. ### 🎓 Universities (2) 1. **[Tianjin University](https://md.research.elamur.ai/free/en/universities/tianjin-university/)**University · Tianjin, [China](https://md.research.elamur.ai/free/en/countries/china/)*9 works · 646 citations* 2. **[Nankai University](https://md.research.elamur.ai/free/en/universities/nankai-university/)**University · Tianjin, [China](https://md.research.elamur.ai/free/en/countries/china/)*2 works · 624 citations* ## Works in our library (11) Works of its institutions, the most cited first. 1. [**Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots**Yu Wu, Wei Wu, Chen Xing, et al.*2017 · 624 citations*](https://md.research.elamur.ai/free/en/papers/wu-2017-sequential-matching-network-new-architecture/) 2. [**Prompt Injection attack against LLM-integrated Applications**Yi Liu; Gelei Deng; Yuekang Li; Kailong Wang; Zihao Wang; Xiaofeng Wang; Tianwei Zhang; Yepang Liu; Haoyu Wang; Yan Zheng; Leo Yu Zhang;, Yang Liu*2023 · 197 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-prompt-injection-attack-against-llm/) 3. [**Evaluating Large Language Models: A Comprehensive Survey**Zishan Guo, Renren Jin, Chuang Liu, et al.*2023 · 177 citations*](https://md.research.elamur.ai/free/en/papers/guo-2023-evaluating-large-language-models-comprehensive/) 4. [**Large Language Model Alignment: A Survey**Tianhao Shen, Renren Jin, Yufei Huang, et al.*2023 · 123 citations*](https://md.research.elamur.ai/free/en/papers/shen-2023-large-language-model-alignment-survey/) 5. [**TransS-Driven Joint Learning Architecture for Implicit Discourse Relation Recognition**Ruifang He, Jian Wang, Fengyu Guo, et al.*2020 · 41 citations*](https://md.research.elamur.ai/free/en/papers/he-2020-transs-driven-joint-learning-architecture/) 6. [**Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?**Ben Yao, Yazhou Zhang, Qiuchi Li, et al.*2024 · 33 citations*](https://md.research.elamur.ai/free/en/papers/yao-2024-sarcasm-detection-step-step-reasoning/) 7. [**PEIT: Bridging the Modality Gap with Pre-trained Models for End-to-End Image Translation**Shaolin Zhu, Shangjie Li, Yikun Lei, et al.*2023 · 32 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2023-peit-bridging-modality-gap-pre/) 8. [**TED-CDB: A Large-Scale Chinese Discourse Relation Dataset on TED Talks**Wanqiu Long, Bonnie Webber, Deyi Xiong*2020 · 21 citations*](https://md.research.elamur.ai/free/en/papers/long-2020-ted-cdb-large-scale-chinese/) 9. [**Infusing Hierarchical Guidance into Prompt Tuning: A Parameter-Efficient Framework for Multi-level Implicit Discourse Relation Recognition**Haodong Zhao, Ruifang He, Mengnan Xiao, et al.*2023 · 19 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-infusing-hierarchical-guidance-into-prompt/) 10. [**Let's Simplify Step by Step: Guiding LLM Towards Multilingual Unsupervised Proficiency-Controlled Sentence Simplification**Jingshen Zhang, Xin Ying Qiu, Lifang Lu, et al.*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2026-let-s-simplify-step-step/) 11. [**ChildTalk: A Multi-Dialect Chinese Child Speech Corpus with Full-Length Child–Caregiver Conversations for Speech Recognition**Jiaming Zhou, Yujie Guo, Shiwan Zhao, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhou-2026-childtalk-multi-dialect-chinese-child/) ## Works by year ### 2020s [**2026** 2 works](https://md.research.elamur.ai/free/en/agglomerations/tianjin/year/2026/) · [**2024** 1 work](https://md.research.elamur.ai/free/en/papers/yao-2024-sarcasm-detection-step-step-reasoning/) · [**2023** 5 works](https://md.research.elamur.ai/free/en/agglomerations/tianjin/year/2023/) · [**2020** 2 works](https://md.research.elamur.ai/free/en/agglomerations/tianjin/year/2020/) ### 2010s [**2017** 1 work](https://md.research.elamur.ai/free/en/papers/wu-2017-sequential-matching-network-new-architecture/) ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 💡 Concepts 1[Child-directed speech · 1 work](https://md.research.elamur.ai/free/en/concepts/child-directed-speech/) 📚 Shelves 5[Natural language processing · 5 works](https://md.research.elamur.ai/free/en/shelves/nlp/) · [Other · 2 works](https://md.research.elamur.ai/free/en/shelves/other/) · [Linguistics & languages · 5 works](https://md.research.elamur.ai/free/en/shelves/linguistics/) · [AI & machine learning · 2 works](https://md.research.elamur.ai/free/en/shelves/ai/) · [Machine translation · 1 work](https://md.research.elamur.ai/free/en/shelves/machine-translation/) 🧭 Topics 10[Language models & pretraining · 4 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Discourse analysis · 3 works](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Bias, fairness & safety · 2 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) 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 23 October 2026