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Shaomu Tan

Shaomu Tan has 2 papers in our library, in 2026, most of them on Machine translation, Evaluation & benchmarks, Reasoning; often with Bill Byrne, Christof Monz, Dawei Zhu.

2 papers in our library · 2026

OpenAlex · h-index 3 · 21 works · 16 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 15 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #11258

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

🎓University of AmsterdamAmsterdam · Netherlands2022–2026 · 16 paperscurrent

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 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 3Research subjects and languages the work is about.Evaluation & benchmarks · 1 workMachine translation · 1 workReasoning · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.chrF · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error Annotations (2026 · 2 citations)
    Neural MT metrics such as xCOMET, MetricX and Remedy correlate well with human judgments, but they output only a single number.
  2. What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translation (2026)
    Iterative self-refinement means an LLM repeatedly revises its own draft translation. Earlier studies mostly applied it to sentences or paragraphs and reported only overall quality, so its behaviour on full documents was poorly understood. The authors ran a controlled study on WMT24-Literary across nine LLMs (Qwen2.5…

All works

4 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. ReMedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling ↗Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yetShaomu Tan, Christof Monz2025 · 15 citations
  2. Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error AnnotationsFindings of the Association for Computational LinguisticsShaomu Tan, Ryosuke Mitani, Ritvik Choudhary, et al.2026 · 2 citations
  3. What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Shaomu Tan, Dawei Zhu, Ke Tran, et al.2026
  4. Last Translation Benchmark ↗arXiv:2609.04173 · no summary yetVilem Zouhar et al.2026

 Co-authors here

6 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 15 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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