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Ruizhe Li

Ruizhe Li has 2 papers in our library, in 2025–2026, most of them on Multilingual & cross-lingual NLP, Evaluation & benchmarks; often with Bo Zeng, Chen Yang, Chenyang Lyu.

2 papers in our library · 2025–2026

OpenAlex · h-index 2 · 6 works · 34 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 5 times in our library · ⭐ Paper Stars ranking: #11859

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 AberdeenAberdeen · United Kingdom2025 · 1 papercurrent🎓Qinghai UniversityXining · China2023–2024 · 3 papers🏛️Ministry of Agriculture and Rural AffairsBeijing · China2023–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 9The 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 workBusiness, Management and Accounting · 1 workManagement Information Systems · 1 workPolitical Science and International Relations · 1 workSocial Sciences · 1 work

🧭 Topics 2Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 1 workEvaluation & benchmarks · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. Business as Rulesual: A Benchmark and Framework for Business Rule Flow Modeling with LLMs (2026)
    The paper tackles turning unstructured business documents, such as regulations, manuals, and compliance guides, into structured rule flows that machines can execute.

 Co-authors here

12 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 5 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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