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Shuaiyi Li

Shuaiyi Li has 2 papers in our library, in 2025, most of them on Language models & pretraining; often with Chenlong Deng, Dong Yu, Hongming Zhang.

2 papers in our library · 2025

OpenAlex · ORCID · h-index 5 · 22 works · 77 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 30 times in our library · ⭐ Paper Stars ranking: #7977

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

🎓Xi'an Jiaotong UniversityXi'an · China2025–2026 · 2 paperscurrent🎓Chinese University of Hong KongHong Kong · China2024–2025 · 5 papers🎓Shanghai Jiao Tong UniversityShanghai · China2021–2023 · 3 papers🎓Chongqing University of Posts and TelecommunicationsChongqing · China2019–2020 · 3 papers🏢TencentShenzhen · China2024–2025 · 2 papers🎓Huanghuai UniversityZhumadian · China2024 · 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

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

 Works by year

2020s

20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Knowledge Boundary of Large Language Models: A Survey (2025 · 30 citations)
    Large language models store a great deal of knowledge in their weights, but they still fail to recall or apply some of it.
  2. Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models (2025 · 14 citations)
    The paper asks whether full-attention decoder-only LLMs can encode context in parallel without any fine-tuning.

 Co-authors here

12 of 14 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 30 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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