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Zhenwen Liang

Zhenwen Liang has 2 papers in our library, in 2022–2023, most of them on Language models & pretraining, Reasoning, Semitic languages; often with Ashish Sabharwal, Meng Jiang, Wenhao Yu.

2 papers in our library · 2022–2023

OpenAlex · ORCID · h-index 11 · 37 works · 288 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 56 times in our library · ⭐ Paper Stars ranking: #7320

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

🎓Shanghai University of Medicine and Health SciencesShanghai · China2019–2026 · 14 paperscurrent🎓Jinan UniversityGuangzhou · China2026 · 2 paperscurrent🏥First Affiliated Hospital of Jinan UniversityGuangzhou · China2019–2025 · 9 papers🎓University of Notre DameNotre Dame · United States2023–2025 · 6 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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 workComputational Theory and Mathematics · 1 work

🧭 Topics 4Research subjects and languages the work is about.Information retrieval & search · 1 workLanguage models & pretraining · 1 workReasoning · 1 workSemitic languages · 1 work

 Works by year

2020s

20231 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Improving Language Models via Plug-and-Play Retrieval Feedback (2023 · 54 citations)
    Large language models often produce confident but wrong facts. Their stored knowledge can be outdated or thin on rare topics. Fixing this with human feedback and RL-based fine-tuning is expensive and cannot help at inference time. The authors propose ReFeed, a pipeline that adds automatic correction without any…
  2. ArMATH: a Dataset for Solving Arabic Math Word Problems (2022 · 17 citations)
    Work on automatically solving math word problems has focused almost entirely on English and Chinese. Arabic had only one earlier statistical study, which used 500 problems translated from English. The authors fill this gap with ArMATH, 6,000 single-unknown primary-school problems in Modern Standard Arabic. Each…

 Co-authors here

5 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 56 times (of the 149,439 papers whose bibliographies we read); 22 citing papers with a page here →.

Updated

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