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Shengyuan Wang

Shengyuan Wang has 2 papers in our library, in 2023, most of them on Language models & pretraining; often with Bosi Wen, Jiale Cheng, Pei Ke.

2 papers in our library · 2023

OpenAlex · ORCID · h-index 29 · 262 works · 4,772 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 137 times in our library · ⭐ Paper Stars ranking: #4906

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

🎓Chongqing UniversityChongqing · China2025–2026 · 2 paperscurrent🎓Quanzhou University of Information EngineeringQuanzhou · China2026 · 1 papercurrent🏥Taipei Veterans General HospitalTaipei · Taiwan1987–2005 · 28 papers🎓Nanjing Xiaozhuang UniversityNanjing · China2012–2025 · 27 papers🎓Tsinghua UniversityBeijing · China2004–2025 · 25 papers🎓Harbin Medical UniversityHarbin · China2014–2025 · 21 papers🎓China Agricultural UniversityBeijing · China2017–2025 · 20 papers🎓Tongji UniversityShanghai · China2019–2025 · 17 papers🎓National Yang Ming UniversityTaipei · Taiwan1995–2002 · 13 papers🎓Liaoning Technical UniversityFuxin · China2009–2024 · 8 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 49 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 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 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20232 papersShengyuan Wang's papers of 2023

 Papers

The most cited first (OpenAlex and our library).

  1. AlignBench: Benchmarking Chinese Alignment of Large Language Models (2023 · 73 citations)
    Chinese benchmarks such as C-Eval and CMMLU score exam-style knowledge. They do not show whether an instruction-tuned model handles real user requests well. LLM-as-Judge suites like AlpacaEval and MT-Bench, meanwhile, exist only in English. AlignBench fills this gap with 683 Chinese queries taken mostly from an…
  2. CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation (2023 · 68 citations)
    LLM-based evaluators trained on critiques that GPT-4 produces through direct prompting often give vague, generic judgments. The problem is worst when no reference answer is available. This paper presents Eval-Instruct, a pipeline for building more informative training data for critique generation.

 Co-authors here

12 of 16 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 137 times (of the 141,840 papers whose bibliographies we read); 16 citing papers with a page here →.

Updated

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