Elamur Research⌕
☰
home / authors / Ning Wu

Ning Wu

Ning Wu has 2 papers in our library, in 2020–2023, most of them on Language models & pretraining, Evaluation & benchmarks, Summarization; often with Daxin Jiang, Linjun Shou, Ming Gong.

2 papers in our library · 2020–2023

OpenAlex · ORCID · Wikidata · h-index 30 · 301 works · 4,372 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 250 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4102

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

🏛️Chinese Academy of SciencesBeijing · China2001–2026 · 37 paperscurrent🎓University of Chinese Academy of SciencesBeijing · China2019–2026 · 16 paperscurrent🔬Beijing Institute of Nanoenergy and NanosystemsBeijing · China2023–2026 · 13 paperscurrent🔬Institute of High Energy PhysicsBeijing · China2001–2020 · 52 papersEducation 2006–2011🎓Beijing Institute of TechnologyBeijing · China2016–2025 · 25 papersEmployment since 2016🎓University of Nebraska–LincolnLincoln · United States2005–2014 · 20 papers🎓Yunnan Normal UniversityKunming · China2012–2018 · 15 papers🔬China Center of Advanced Science and TechnologyBeijing · China1996–2014 · 10 papers🎓Nanjing University of Aeronautics and AstronauticsNanjing · China2018–2022 · 7 papers🎓University of Science and Technology of ChinaHefei · China1995–1998 · 7 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 46 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 4Research subjects and languages the work is about.Evaluation & benchmarks · 2 worksLanguage models & pretraining · 2 worksMultilingual & cross-lingual NLP · 1 workSummarization · 1 work

 Works by year

2020s

20231 paper20201 paper

 Papers

The most cited first (OpenAlex and our library).

  1. XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation (2020 · 358 citations)
    Cross-lingual pre-trained models aim to transfer task skills from a data-rich language such as English to languages with little or no labeled data.
  2. Large Language Models are Diverse Role-Players for Summarization Evaluation (2023 · 86 citations)
    Metrics such as BLEU, ROUGE and BERTScore measure surface or embedding similarity to a reference. They often diverge from human judgement, especially for fluent LLM-written summaries. Two outputs can score alike on these metrics yet differ clearly in coherence or interest to readers. The authors propose DRPE (Diverse…

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. XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Yaobo Liang, Nan Duan, Yeyun Gong, et al.2020 · 358 citations
  2. Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations ↗Findings of the Association for Computational Linguistics: EMNLP 2024 · no summary yetNuo Chen et al.2024 · 86 citations
  3. Large Language Models are Diverse Role-Players for Summarization EvaluationLecture notes in computer scienceNing Wu, Ming Gong, Linjun Shou, et al.2023 · 86 citations

 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 250 times (of the 149,439 papers whose bibliographies we read); 62 citing papers with a page here →.

Updated

↑ back to top

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