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Yulu Xie

Yulu Xie has 2 papers in our library, in 2026, most of them on Language models & pretraining, Information extraction, Evaluation & benchmarks; often with Chong Zhang, Huan Zhao, Mingxu Chai.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 1 · 4 works · 13 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 2 times in our library · ⭐ Paper Stars ranking: #12076

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

🎓Guangxi UniversityNanning · China2026 · 1 papercurrent🎓Tsinghua UniversityBeijing · China2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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.Information extraction · 1 workEvaluation & benchmarks · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving (2026 · 3 citations)
    Math benchmarks such as GSM8K and MATH test LLMs on clean, fully specified problems. Real engineering work is different: it involves physical context, missing information, competing goals and uncertainty. EngiBench is designed to measure how LLMs handle such tasks and to diagnose where they fail. Problems from many…
  2. Unveiling the Deficiencies of Pre-trained Text-and-Layout Models in Real-world Visually-rich Document Information Extraction (2026 · 1 citation)
    Pre-trained text-and-layout models (PTLMs) score very highly on standard benchmarks for extracting information from visually-rich documents (VrD-IE), but they disappoint in practice.

 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 2 times (of the 149,439 papers whose bibliographies we read).

Updated

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