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Sinuo Liu

Sinuo Liu has 2 papers in our library, in 2025–2026, most of them on Machine translation, Multilingual & cross-lingual NLP, Reasoning; often with Chenyang Lyu, Minghao Wu, Bo Zeng.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 13 · 48 works · 529 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 21 times in our library · ⭐ Paper Stars ranking: #9032

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

🎓Ocean University of ChinaQingdao · China2019–2026 · 6 paperscurrent🎓University of Science and Technology BeijingBeijing · China2017–2024 · 24 papers🎓Peking UniversityBeijing · China2023–2024 · 4 papers🎓Carnegie Mellon UniversityPittsburgh · United States2020–2021 · 4 papers🎓Beijing Normal UniversityBeijing · China2024–2025 · 2 papers🎓Huazhong Agricultural UniversityWuhan · China2020–2021 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions 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 · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 1 workMachine translation · 1 workReasoning · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. New Trends for Modern Machine Translation with Large Reasoning Models (2026 · 16 citations)
    This position paper from Alibaba Group and the University of Edinburgh argues that Large Reasoning Models (LRMs), which use Chain-of-Thought (CoT) reasoning, change machine translation (MT).
  2. Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language (2025 · 5 citations)
    Most benchmarks for LLM instruction following are English-only or plain machine translations, so they handle constraints that don't transfer across languages poorly.

 Co-authors here

11 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 21 times (of the 149,439 papers whose bibliographies we read); 7 citing papers with a page here →.

Updated

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