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Xian-Ling Mao

Xian-Ling Mao has 2 papers in our library, in 2020–2022, most of them on Language models & pretraining, Multilingual & cross-lingual NLP; often with Furu Wei, Heyan Huang, Li Dong.

2 papers in our library · 2020–2022

OpenAlex · ORCID · Wikidata · h-index 30 · 223 works · 3,343 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 262 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #3756

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 · China2014–2026 · 176 paperscurrent🏢MicrosoftRedmond · United States2020–2022 · 6 papers🎓Peking UniversityBeijing · China2010–2012 · 5 papers🎓Huazhong University of Science and TechnologyWuhan · China2020–2021 · 3 papers

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 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 2Research subjects and languages the work is about.Language models & pretraining · 2 worksMultilingual & cross-lingual NLP · 2 works

 Works by year

2020s

20221 paperXian-Ling Mao's papers of 202220201 paperXian-Ling Mao's papers of 2020

 Papers

The most cited first (OpenAlex and our library).

  1. InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training (2020 · 271 citations)
    The paper addresses why multilingual encoders transfer across languages and how to strengthen that ability.
  2. XLM-E: Cross-lingual Language Model Pre-training via ELECTRA (2022 · 126 citations)
    Cross-lingual encoders such as XLM-R are typically trained with masked language modeling, sometimes extended with parallel-data objectives like TLM, and this demands very large compute budgets.

All works

5 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. InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-TrainingarXiv:2007.07834Zewen Chi, Li Dong, Furu Wei, et al.2020 · 271 citations
  2. XLM-E: Cross-lingual Language Model Pre-training via ELECTRAAnnual Meeting of the Association for Computational Linguistics (ACL)Zewen Chi, Shaohan Huang, Li Dong, et al.2022 · 126 citations
  3. MTAVG-Bench: A Diagnostic Benchmark for Multi-Talker Dialogue-Centric Audio-Video Generation ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYanghao Zhou et al.2026 · 2 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
  5. Your Reasoning Model Knows What Counts: Self-Guided Chain-of-Thought Pruning for Efficient Reasoning ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetZi-Ao Ma et al.2026

 Co-authors here

12 of 13 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 262 times (of the 141,840 papers whose bibliographies we read); 19 citing papers with a page here →.

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