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Tianyu Dong

Tianyu Dong has 3 papers in our library, in 2023–2026, most of them on Machine translation, Language models & pretraining, Evaluation & benchmarks; often with Hao Wang, Heng Liu, Jiang Zhou.

3 papers in our library · 2023–2026

OpenAlex · h-index 0 · 3 works · 0 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 28 times in our library · ⭐ Paper Stars ranking: #8270

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

🎓Tianjin UniversityTianjin · China2026 · 2 paperscurrent🏢Alibaba GroupHangzhou · China2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 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 · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 1 workLanguage models & pretraining · 1 workMachine translation · 1 work

 Works by year

2020s

20262 papers20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language Models (2023 · 34 citations)
    Chinese large language models (LLMs) are improving quickly, but there has been no large Chinese benchmark that tests their knowledge the way the Chinese education system does.
  2. Incentivizing Parametric Knowledge via Reinforcement Learning with Verifiable Rewards for Cross-Cultural Entity Translation (2026 · 1 citation)
    Large language models often mistranslate culturally grounded entities such as songs, films, books, places and idioms.
  3. M²PO: Multi-Perspective Multi-Pair Preference Optimization for Machine Translation (2026)
    The paper tackles unreliable reward signals in preference-based alignment of LLMs for machine translation.

 Co-authors here

12 of 19 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 28 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated

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