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Xingyu Fu

Xingyu Fu has 2 papers in our library, in 2019–2024, most of them on Language models & pretraining, Hebrew & Aramaic, Semitic languages; often with Ahmed El-Kishky, Clare Voss, Dan Roth.

2 papers in our library · 2019–2024

OpenAlex · ORCID · h-index 3 · 4 works · 93 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 139 times in our library · ⭐ Paper Stars ranking: #6328

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

🎓University of PennsylvaniaPhiladelphia · United States2024 · 1 papercurrent🎓Xiamen University of TechnologyXiamen · China2022–2023 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

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

🧭 Topics 5Research subjects and languages the work is about.Language models & pretraining · 1 workVision & language · 1 workBiblical Hebrew · 1 workHebrew & Aramaic · 1 workSemitic languages · 1 work

 Works by year

2020s

20241 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. BLINK: Multimodal Large Language Models Can See but Not Perceive (2024 · 206 citations)
    Popular multimodal benchmarks such as MMBench mostly test object recognition and language-side knowledge. They say little about whether models actually perceive visual structure. The authors present Blink, a benchmark built from 14 classic computer vision problems, including relative depth, visual and semantic…
  2. Constrained Sequence-to-sequence Semitic Root Extraction for Enriching Word Embeddings (2019 · 6 citations)
    The authors extract the root of a Semitic word with a sequence-to-sequence model (a BiGRU encoder and a GRU decoder over characters).

 Co-authors here

10 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 139 times (of the 149,439 papers whose bibliographies we read); 42 citing papers with a page here →.

Updated

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