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Bo Wang

Bo Wang has 3 papers in our library, in 2021–2023, most of them on Information extraction; often with Heyan Huang, Saba Sturua, Xiao Liu.

3 papers in our library · 2021–2023

OpenAlex · ORCID · h-index 2 · 15 works · 104 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 276 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #2685

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

🎓Beijing Institute of TechnologyBeijing · China2021–2026 · 13 paperscurrent🎓Hebei University of TechnologyTianjin · China2026 · 2 paperscurrent

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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work

🧭 Topics 1Research subjects and languages the work is about.Information extraction · 1 work

 Works by year

2020s

20231 paperBo Wang's papers of 202320221 paperBo Wang's papers of 202220211 paperBo Wang's papers of 2021

 Papers

The most cited first (OpenAlex and our library).

  1. DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations (2021 · 515 citations)
    This paper asks whether general-purpose sentence embeddings can match supervised quality without labelled data.
  2. Dynamic Prefix-Tuning for Generative Template-based Event Extraction (2022 · 145 citations)
    Recent work treats event extraction as text generation: a pretrained encoder-decoder is prompted with a template and fills in triggers and arguments.
  3. Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents (2023 · 75 citations)
    Most open-source text embedding models inherit BERT's 512-token input limit. Long documents must therefore be truncated or split into chunks, which fragments their meaning and multiplies the number of vectors to store and search. The Jina AI team presents Jina Embeddings v2, an English embedding suite that accepts…

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. DeCLUTR: Deep Contrastive Learning for Unsupervised Textual RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)John Giorgi, Osvald Nitski, Bo Wang, et al.2021 · 515 citations
  2. Dynamic Prefix-Tuning for Generative Template-based Event ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Xiao Liu, Heyan Huang, Ge Shi, et al.2022 · 145 citations
  3. Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long DocumentsarXiv:2310.19923Michael Gunther, Jackmin Ong, Isabelle Mohr, et al.2023 · 75 citations
  4. EXCEEDS: Extracting Complex Events via Nugget-based Grid Modeling in Scientific Domain ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYi-Fan Lu et al.2026

 Co-authors here

3 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 276 times (of the 141,840 papers whose bibliographies we read); 22 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/bo-wang/