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Guangzhou–Foshan

AgglomerationChina · metro population 23,506,852 (the Guangzhou functional urban area, GHSL 2015)

 3institutions with a page 38works in our library 11,439citations of their works
Hong Kong — 6 institutionsShenzhen–Dongguan — 9 institutionsMacau — 1 institutionSun Yat-sen UniversityThe Hong Kong University of Science and Technology (Guangzhou)South China University of TechnologySun Yat-sen UniversityThe Hong Kong University of Science and Technology (Guangzhou)

 Institutions (3)

3 universities.

🎓 Universities (3)

  1. Sun Yat-sen UniversityUniversity · Guangzhou, China23 works · 8,980 citations
  2. The Hong Kong University of Science and Technology (Guangzhou)University · Guangzhou, China7 works · 1,026 citations
  3. South China University of TechnologyUniversity · Guangzhou, China8 works · 1,433 citations

 Works in our library (38)

Works of its institutions, the most cited first.

  1. CodeBERT: A Pre-Trained Model for Programming and Natural LanguagesFindings of the Association for Computational LinguisticsZhangyin Feng, Daya Guo, Duyu Tang, et al.2020 · 2,960 citations
  2. Relational Graph Attention Network for Aspect-based Sentiment AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL)Kai Wang, Weizhou Shen, Yunyi Yang, et al.2020 · 776 citations
  3. LayoutLMv3: Pre-training for Document AI with Unified Text and Image MaskingACM International Conference on Multimedia (ACM MM)Yupan Huang, Tengchao Lv, Lei Cui, et al.2022 · 774 citations
  4. UniXcoder: Unified Cross-Modal Pre-training for Code RepresentationAnnual Meeting of the Association for Computational Linguistics (ACL)Daya Guo, Shuai Lu, Nan Duan, et al.2022 · 768 citations
  5. Knowledge Graph and Text Jointly EmbeddingConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Wang, Jianwen Zhang, Jianlin Feng, et al.2014 · 457 citations
  6. Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object DetectionarXiv:2303.05499Shilong Liu, Zhaoyang Zeng, Tianhe Ren, et al.2023 · 430 citations
  7. Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling MechanismsAnnual Meeting of the Association for Computational Linguistics (ACL)Dinghan Shen, Guoyin Wang, Wenlin Wang, et al.2018 · 385 citations
  8. A Survey on Large Language Models for Code GenerationarXiv:2406.00515Juyong Jiang, Fan Wang, Jiasi Shen, et al.2024 · 366 citations
  9. Directed Acyclic Graph Network for Conversational Emotion RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL)Weizhou Shen, Siyue Wu, Yunyi Yang, et al.2021 · 345 citations
  10. GraphCodeBERT: Pre-training Code Representations with Data FlowarXiv:2009.08366Daya Guo, Shuo Ren, Shuai Lu, et al.2021 · 331 citations
  11. AugGPT: Leveraging ChatGPT for Text Data AugmentationIEEE Transactions on Big DataHaixing Dai; Zhengliang Liu; Wenxiong Liao; Xiaoke Huang; Yihan Cao; Zihao Wu; Lin Zhao; Shaochen Xu; Wei Liu; Ninghao Liu; Sheng Li; Dajiang Zhu; Hongmin Cai; Lichao Sun; Quanzheng Li; Dinggang Shen; Tianming Liu;, Xiang Li2023 · 306 citations
  12. OCRBench: On the Hidden Mystery of OCR in Large Multimodal ModelsScience China Information SciencesYuliang Liu, Zhang Li, Mingxin Huang, et al.2023 · 297 citations
  13. Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat DataConference on Empirical Methods in Natural Language Processing (EMNLP)Canwen Xu, Daya Guo, Nan Duan, et al.2023 · 296 citations
  14. MAmmoTH: Building Math Generalist Models through Hybrid Instruction TuningarXiv:2309.05653Xiang Yue, Xingwei Qu, Ge Zhang, et al.2023 · 288 citations
  15. Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical StudyWorkshop on Cross-Cultural Considerations in NLPYong Cao, Li Zhou, Seolhwa Lee, et al.2023 · 278 citations
  16. A Study of Reinforcement Learning for Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Lijun Wu, Fei Tian, Tao Qin, et al.2018 · 234 citations
  17. Reasoning Over Semantic-Level Graph for Fact CheckingAnnual Meeting of the Association for Computational Linguistics (ACL)Wanjun Zhong, Jingjing Xu, Duyu Tang, et al.2020 · 221 citations
  18. GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical ReasoningFindings of the Association for Computational LinguisticsJiaqi Chen, Jianheng Tang, Jinghui Qin, et al.2021 · 183 citations
  19. Soft Contextual Data Augmentation for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Fei Gao, Jinhua Zhu, Lijun Wu, et al.2019 · 172 citations
  20. Target-Guided Open-Domain ConversationAnnual Meeting of the Association for Computational Linguistics (ACL)Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, et al.2019 · 166 citations
  21. SemEval-2020 Task 4: Commonsense Validation and ExplanationInternational Workshop on Semantic Evaluation (SemEval)Cunxiang Wang, Shuailong Liang, Yili Jin, et al.2020 · 157 citations
  22. GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue SystemsConference on Empirical Methods in Natural Language Processing (EMNLP)Lishan Huang, Zheng Ye, Jinghui Qin, et al.2020 · 144 citations
  23. Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic ReasoningarXiv:2105.04165Pan Lu, Ran Gong, Shibiao Jiang, et al.2021 · 134 citations
  24. A Survey on Recent Advances in LLM-Based Multi-turn Dialogue SystemsACM Computing SurveysZihao Yi, Jiarui Ouyang, Zhe Xu, et al.2024 · 129 citations
  25. UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical ExpressionConference on Empirical Methods in Natural Language Processing (EMNLP)Jiaqi Chen, Tong Li, Jinghui Qin, et al.2022 · 111 citations

See all 38 works in Guangzhou–Foshan →

 Works by year

2020s

20261 workWorks of Guangzhou–Foshan from 202620246 worksWorks of Guangzhou–Foshan from 202420239 worksWorks of Guangzhou–Foshan from 202320224 worksWorks of Guangzhou–Foshan from 202220214 worksWorks of Guangzhou–Foshan from 202120208 worksWorks of Guangzhou–Foshan from 2020

2010s

20193 worksWorks of Guangzhou–Foshan from 201920182 worksWorks of Guangzhou–Foshan from 201820141 workWorks of Guangzhou–Foshan from 2014

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 22The field of science this work belongs to (OpenAlex fields).Computer Science · 38 worksArts and Humanities · 31 worksArtificial Intelligence · 34 worksLanguage and Linguistics · 31 worksComputer Vision and Pattern Recognition · 11 worksInformation Systems · 4 worksMathematics · 4 worksComputer Science Applications · 3 worksComputational Theory and Mathematics · 4 worksApplied Mathematics · 3 worksSocial Sciences · 3 worksControl and Systems Engineering · 1 workEngineering · 1 workPsychology · 1 workExperimental and Cognitive Psychology · 1 work+7 more

🧭 Topics 14Research subjects and languages the work is about.Code & programming languages · 4 worksLanguage models & pretraining · 8 worksDialogue systems · 8 worksReasoning · 5 worksMachine translation · 3 worksSentiment & emotion · 2 worksVision & language · 3 worksKnowledge graphs & ontologies · 1 workDiscourse analysis · 2 worksEvaluation & benchmarks · 2 worksGrammatical error correction & learner language · 1 workSpeech act theory · 3 worksEfficient models & compression · 1 workQuestion answering · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Minimum description length · 1 work

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.

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