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Pengfei Wu

Pengfei Wu has 2 papers in our library, in 2022–2026, most of them on Language models & pretraining, Question answering, Multilingual & cross-lingual NLP; often with Dongmei Zhang, Ge Zhang, Haoyu Dong.

2 papers in our library · 2022–2026

OpenAlex · ORCID · h-index 3 · 18 works · 59 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 22 times in our library · ⭐ Paper Stars ranking: #10123

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

🎓Singapore Management UniversitySingapore · Singapore2025 · 2 paperscurrent🎓Xi’an University of Posts and TelecommunicationsXi'an · China2025 · 1 papercurrent🎓Fudan UniversityShanghai · China2021–2022 · 2 papers🎓Peking UniversityBeijing · China2009 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

 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).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 workMultilingual & cross-lingual NLP · 1 workQuestion answering · 1 work

 Works by year

2020s

20261 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining (2022 · 36 citations)
    Tables hold large amounts of numerical data, yet models still struggle to reason about it. They need to work out what a given number means from its headers, and how numbers relate to each other through calculations. Manually labelling such reasoning is costly and error-prone. FORTAP addresses this by using…
  2. M3TQA: Massively Multilingual Multitask Table Question Answering (2026 · 2 citations)
    Research on table question answering with LLMs has focused mostly on English. The few multilingual table benchmarks that exist mainly cover Indo-European or otherwise prominent languages, and they are too small for fine-grained cross-lingual analysis. M3TQA addresses this gap. It starts from 50 real-world tables (41…

 Co-authors here

11 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 22 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated

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