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Xuebo Liu

Xuebo Liu has 2 papers in our library, in 2020–2023, most of them on Machine translation; often with Dacheng Tao, Derek F. Wong, Liang Ding.

2 papers in our library · 2020–2023

OpenAlex · ORCID · h-index 22 · 103 works · 2,633 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 213 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #3989

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

🎓Harbin Institute of TechnologyHarbin · China2021–2026 · 58 paperscurrent🎓University of MacauMacao · Macao2019–2025 · 15 papers🎓Sun Yat-sen UniversityGuangzhou · China2015–2017 · 6 papers🏢SensetimeBeijing · China2018–2021 · 5 papers🎓Beihang UniversityBeijing · China2023–2024 · 3 papers🎓Xidian UniversityXi'an · China2023–2024 · 2 papers🎓Qingdao University of TechnologyQingdao · China2018–2023 · 2 papers🏢TencentShenzhen · China2021 · 2 papers🎓The University of SydneySydney · Australia2021 · 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.

 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 1Research subjects and languages the work is about.Machine translation · 2 works

 Works by year

2020s

20231 paperTowards Making the Most of ChatGPT for Machine Translation20201 paperNorm-Based Curriculum Learning for Neural Machine Translation

 Papers

The most cited first (OpenAlex and our library).

  1. Towards Making the Most of ChatGPT for Machine Translation (2023 · 190 citations)
    Earlier evaluations found that ChatGPT matches commercial engines on high-resource language pairs but falls behind on low-resource and distant pairs.
  2. Norm-Based Curriculum Learning for Neural Machine Translation (2020 · 158 citations)
    Training neural machine translation (NMT) systems is slow and expensive, especially deep or large-batch Transformer models on high-resource data.

All works

7 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. Towards Making the Most of ChatGPT for Machine TranslationFindings of the Association for Computational LinguisticsKeqin Peng, Liang Ding, Qihuang Zhong, et al.2023 · 190 citations
  2. Norm-Based Curriculum Learning for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Xuebo Liu, Houtim Lai, Derek F. Wong, et al.2020 · 158 citations
  3. Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScoreProceedings of the 31st International Conference on Computational Linguistics · original ↗ · no summary yetJunchao Wu et al.2025 · 17 citations
  4. Revisiting Commonsense Reasoning in Machine Translation: Training, Evaluation and ChallengeProceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yetXuebo Liu et al.2023 · 11 citations
  5. Difficulty-Aware Machine Translation EvaluationProceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers) · original ↗ · no summary yetRunzhe Zhan et al.2021 · 9 citations
  6. Test-time Adaptation for Machine Translation Evaluation by Uncertainty MinimizationProceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yetRunzhe Zhan et al.2023 · 8 citations
  7. Dynamic Sampling that Adapts: Self-Aware Iterative Data Persistent Optimization for Mathematical ReasoningFindings of the Association for Computational Linguistics: ACL 2026 · original ↗ · no summary yetJun Rao et al.2026 · 4 citations

 Co-authors here

5 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 213 times (of the 141,840 papers whose bibliographies we read); 19 citing papers with a page here →.

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