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Zhicheng Liu

Zhicheng Liu has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Interpretability, English; often with Fangcheng Liu, Hanting Chen, Kai Han.

2 papers in our library · 2023–2024

OpenAlex · ORCID · Wikidata · h-index 28 · 104 works · 3,581 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 10 times in our library · ⭐ Paper Stars ranking: #9577

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 Maryland, College ParkCollege Park · United States2021–2026 · 24 paperscurrent🏢Adobe SystemsSan Jose · United States2014–2020 · 24 papers🎓Georgia Institute of TechnologyAtlanta · United States2007–2018 · 16 papers🎓Stanford UniversityStanford · United States2013 · 5 papers

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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workEnglish · 1 workInterpretability · 1 work

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation (2023 · 10 citations)
    Progress in large language models has mostly come from adding parameters and data. The design of the Transformer block itself gets little attention, even though large models are costly to run. The authors study LLaMA-style decoders and identify feature collapse: a rank metric shows token representations growing more…
  2. WordDecipher: Enhancing Digital Workspace Communication with Explainable AI for Non-native English Speakers (2024 · 4 citations)
    Non-native English speakers (NNES) often write workplace emails and chat messages that carry unintended social signals.

 Co-authors here

8 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 10 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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