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Junfeng Tian

Junfeng Tian has 2 papers in our library, in 2020–2023, most of them on Speech act theory, Language models & pretraining, Dialogue systems; often with Anwen Hu, Chenliang Li, Guohai Xu.

2 papers in our library · 2020–2023

OpenAlex · ORCID · Wikidata · h-index 13 · 42 works · 681 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 80 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4684

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

🏢Alibaba GroupHangzhou · China2019–2023 · 10 papers🎓Hebei UniversityBaoding · China2003–2024 · 7 papers🎓East China Normal UniversityShanghai · China2017–2025 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions 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).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 1 workVision & language · 1 workDialogue systems · 1 workSpeech act theory · 1 work

 Works by year

2020s

20231 paperJunfeng Tian's papers of 202320201 paperJunfeng Tian's papers of 2020

 Papers

The most cited first (OpenAlex and our library).

  1. UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model (2023 · 128 citations)
    Understanding images that contain text, such as documents, tables, charts, webpages and street photos, usually requires either an external OCR system or costly domain-specific pretraining.
  2. Multi-Domain Dialogue Acts and Response Co-Generation (2020 · 66 citations)
    Task-oriented dialogue systems usually produce a reply in two steps. They first predict dialogue acts (domain-action-slot triples) and then generate text conditioned on those acts. The authors identify two weaknesses in this pipeline. Classifying each act separately ignores the hierarchical structure that acts share…

All works

3 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. UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language ModelFindings of the Association for Computational LinguisticsJiabo Ye, Anwen Hu, Haiyang Xu, et al.2023 · 128 citations
  2. Multi-Domain Dialogue Acts and Response Co-GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Kai Wang, Junfeng Tian, Rui Wang, et al.2020 · 66 citations
  3. Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetJunfeng Tian et al.2025 · 7 citations

 Co-authors here

12 of 14 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 80 times (of the 141,840 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated

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