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Xiaotao Gu

Xiaotao Gu has 2 papers in our library, in 2018–2025, most of them on Named entity recognition, Reasoning, Vision & language; often with Ji Qi, Jiale Cheng, Jiawei Han.

2 papers in our library · 2018–2025

OpenAlex · ORCID · Wikidata · h-index 17 · 60 works · 2,792 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1,052 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #3832

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢Zhipu AIBeijing2024–2026 · 10 paperscurrent🎓University of Illinois Urbana-ChampaignUrbana · United States2018–2022 · 12 papers🎓Tsinghua UniversityBeijing · China2016–2025 · 11 papers🏢Huawei TechnologiesShenzhen · China2023 · 2 papers🏢GoogleMountain View · United States2020–2021 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Named entity recognition · 1 workReasoning · 1 workVision & language · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Lexicography · 1 work

 Works by year

2020s

20251 paperGLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

2010s

20181 paperLearning Named Entity Tagger using Domain-Specific Dictionary

 Papers

The most cited first (OpenAlex and our library).

  1. Learning Named Entity Tagger using Domain-Specific Dictionary (2018 · 301 citations)
    Neural NER models no longer need handcrafted features, but they still need large amounts of manually labeled text.
  2. GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning (2025 · 79 citations)
    The paper addresses a gap in open-source vision-language models (VLMs): no openly available model reliably beat comparably sized non-reasoning models across a wide range of multimodal tasks.

All works

7 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Learning Named Entity Tagger using Domain-Specific DictionaryConference on Empirical Methods in Natural Language Processing (EMNLP)Jingbo Shang, Liyuan Liu, Xiaotao Gu, et al.2018 · 301 citations
  2. Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather ForecastarXiv:2211.02556 · original ↗ · no summary yetKaifeng Bi et al.2022 · 131 citations
  3. Learning Dynamic Context Augmentation for Global Entity LinkingProceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · original ↗ · no summary yetXiyuan Yang et al.2019 · 84 citations
  4. GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement LearningarXiv:2507.01006GLM-V Team, Wenyi Hong, Wenmeng Yu, et al.2025 · 79 citations
  5. NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User QueriesFindings of the Association for Computational Linguistics: ACL 2024 · original ↗ · no summary yetShudan Zhang et al.2024 · 17 citations
  6. Glyph: Scaling Context Windows via Visual-Text CompressionProceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yetJiale Cheng et al.2026 · 6 citations
  7. GLM-OCR Technical ReportarXiv:2603.10910 · original ↗ · no summary yetShuaiqi Duan et al.2026 · 4 citations

 Co-authors here

9 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 1,052 times (of the 141,840 papers whose bibliographies we read); 31 citing papers with a page here →.

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