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Zhengyu Chen

Zhengyu Chen has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Morphology; often with Bo Li, Fei Qing Wu, Jian Zhang.

2 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 10 · 51 works · 465 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 82 times in our library · ⭐ Paper Stars ranking: #6951

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

🎓Tsinghua UniversityBeijing · China2026 · 1 papercurrent🎓Jinling Institute of TechnologyJiangning · China2005–2023 · 18 papers🎓China University of Petroleum, BeijingBeijing · China2018–2025 · 4 papers🔬State Key Laboratory of Heavy OilBeijing · China2018–2025 · 4 papers🎓Zhejiang UniversityHangzhou · China2021–2024 · 3 papers🎓Westlake UniversityHangzhou · China2019–2021 · 3 papers🎓Shanghai UniversityShanghai · China2022–2023 · 2 papers🎓Dalian Maritime UniversityDalian · China2018–2019 · 2 papers🎓Nanjing University of Posts and TelecommunicationsNanjing · China2014 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 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 worksInformation Systems · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksMorphology · 1 work

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. On the Tool Manipulation Capability of Open-source Large Language Models (2023 · 92 citations)
    Most work on LLM-driven tool use relies on proprietary APIs. That is a problem for companies that cannot send internal workflows and data to external services. The authors ask whether open-source LLMs can match closed models at turning natural-language goals into executable API calls without heavy human effort.
  2. Mitigating Structural Knowledge Collapse in Domain-Specific LLMs via Morpheme-Aware KV-Aggregation (2026)
    Subword tokenizers such as BPE often split specialized medical and legal terms (e.g., Hydrochlorothiazide) into pieces that do not match their morphemes.

 Co-authors here

4 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 82 times (of the 149,439 papers whose bibliographies we read); 25 citing papers with a page here →.

Updated

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