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Zengkui Sun

Zengkui Sun has 4 papers in our library, in 2023–2026, most of them on Language models & pretraining, Machine translation, Text generation; often with Fandong Meng, Jiaan Wang, Jinan Xu.

4 papers in our library · 2023–2026

OpenAlex · h-index 4 · 7 works · 255 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 345 times in our library · ⭐ Paper Stars ranking: #4503

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 Jiaotong UniversityBeijing · China2023–2025 · 5 paperscurrent

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.

 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 · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 5Research subjects and languages the work is about.Text generation · 1 workLanguage models & pretraining · 2 worksMultilingual & cross-lingual NLP · 1 workEfficient models & compression · 1 workMachine translation · 1 work

 Works by year

2020s

20261 paper20242 papers20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Is ChatGPT a Good NLG Evaluator? A Preliminary Study (2023 · 287 citations)
    Automatic metrics for natural language generation (NLG) often agree poorly with human judgments. This paper asks whether ChatGPT can do better if it is used as the judge. The authors treat ChatGPT as a stand-in for a human annotator. Each prompt names the task being judged (for example, news summarization) and the…
  2. Cross-Lingual Knowledge Editing in Large Language Models (2024 · 45 citations)
    Most knowledge editing research updates and tests a model in a single language, so it is unclear whether a fact edited in one language carries over to another in a multilingual LLM.
  3. Dual-Space Knowledge Distillation for Large Language Models (2024 · 39 citations)
    Standard white-box knowledge distillation for LLMs trains a small student to match the teacher's token-level output distributions.
  4. FeedTrans: Enhance Machine Translation via Feedback (2026)
    Reinforcement learning (RL) for machine translation usually rewards a model only for what it can already produce.

 Co-authors here

12 of 14 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 345 times (of the 149,439 papers whose bibliographies we read); 79 citing papers with a page here →.

Updated

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