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Yu Rong

Yu Rong has 4 papers in our library, in 2025, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Reasoning; often with Deli Zhao, Chaoqun Liu, Hao Zhang.

4 papers in our library · 2025

OpenAlex · h-index 1 · 7 works · 3 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 28 times in our library · ⭐ Paper Stars ranking: #8260

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

🏢Alibaba DAMO AcademyHangzhou · China2025 · 2 paperscurrent🏢Alibaba GroupGeorge Town · Cayman Islands2025 · 2 paperscurrent🏢Alibaba GroupHangzhou · China2025 · 2 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 9The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArts and Humanities · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 2 worksBiochemistry, Genetics and Molecular Biology · 1 workHealth Informatics · 1 workMedicine · 1 workMolecular Biology · 1 work

🧭 Topics 4Research subjects and languages the work is about.Reasoning · 2 worksLanguage models & pretraining · 3 worksMultilingual & cross-lingual NLP · 2 worksEvaluation & benchmarks · 1 work

 Works by year

2020s

20254 papers

 Papers

The most cited first (OpenAlex and our library).

  1. ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning (2025 · 11 citations)
    Reasoning-oriented LLMs do well in math and code, but medical QA depends on broad, accurate domain knowledge and lacks large, carefully checked reasoning data.
  2. Disentangling Language and Culture for Evaluating Multilingual Large Language Models (2025 · 10 citations)
    Multilingual LLM evaluation usually relies on one of two approaches. The first translates English-centric benchmarks, such as MMLU into MMMLU, which keeps the content anchored in Anglophone culture. The second uses native, culture-specific sets such as M3Exam and BLEnD, which tie each language to its own culture.…
  3. Babel: Open Multilingual Large Language Models Serving Over 90% of Global Speakers (2025 · 8 citations)
    Open multilingual LLMs tend to favor languages with abundant web text, such as French or German. Populous but data-poor languages like Hindi, Bengali or Urdu remain underserved. Babel, from Alibaba's DAMO Academy, targets the 25 languages with the most speakers, which together cover roughly 7 billion people.
  4. FineReason: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving (2025 · 6 citations)
    Most reasoning benchmarks for LLMs score only the final answer. They do not show whether a model can examine its intermediate steps, notice a dead end, and recover from it. FineReason fills this gap with logic puzzles that break down into small verifiable steps. It covers four puzzle types: Sudoku, Graph Coloring…

 Co-authors here

12 of 17 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); 5 citing papers with a page here →.

Updated

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