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Michael R. Lyu

Michael R. Lyu has 2 papers in our library, in 2021–2024, most of them on Language models & pretraining, Efficient models & compression; often with Jen-tse Huang, Lifeng Shang, Lu Hou.

2 papers in our library · 2021–2024

OpenAlex · ORCID · Wikidata · h-index 102 · 902 works · 43,052 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 228 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #4379

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

🎓Chinese University of Hong KongHong Kong · Hong Kong1997–2026 · 772 papersEmployment since 1997 · Professor, Computer Science & Engineeringcurrent🎓Singapore Management UniversitySingapore · Singapore2026 · 3 paperscurrent🎓Chinese University of Hong Kong, ShenzhenShenzhen · China2012–2019 · 71 papers🎓National University of Defense TechnologyChangsha · China2011–2017 · 14 papers🏢AT&TBedminster · United States1996–2014 · 8 papers🎓University of IowaIowa City · United States1991–2003 · 7 papers🏢Core CompetenceSanta Fe · United States1993–2002 · 5 papers🏢SalesforceSan Francisco · United States2020–2021 · 4 papers🎓University of California, Los AngelesLos Angeles · United States1984–2005 · 4 papersEducation 1984–1988 · PhD, Computer Science🏢TencentShenzhen · China2020–2021 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 17 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 2Research subjects and languages the work is about.Efficient models & compression · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20241 paperNot All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models20211 paperBinaryBERT: Pushing the Limit of BERT Quantization

 Papers

The most cited first (OpenAlex and our library).

  1. BinaryBERT: Pushing the Limit of BERT Quantization (2021 · 165 citations)
    Large pre-trained language models are hard to run on edge devices, and quantization shrinks them without redesigning the architecture.
  2. Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models (2024 · 96 citations)
    The paper examines whether large language models, trained mostly on English text, push English-speaking (largely American) culture onto users who ask questions in other languages.

All works

7 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. BinaryBERT: Pushing the Limit of BERT QuantizationAnnual Meeting of the Association for Computational Linguistics (ACL)Haoli Bai, Wei Zhang, Lu Hou, et al.2021 · 165 citations
  2. ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction BenchmarkarXiv:2303.13648 · original ↗ · no summary yetHaoran Wu et al.2023 · 117 citations
  3. Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Wenxuan Wang, Wenxiang Jiao, Jingyuan Huang, et al.2024 · 96 citations
  4. CLEVA: Chinese Language Models EVAluation PlatformarXiv:2308.04813 · original ↗ · no summary yetYanyang Li et al.2023 · 10 citations
  5. Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided VerificationFindings of the Association for Computational Linguistics: ACL 2026 · original ↗ · no summary yetYuxuan Wan et al.2026 · 4 citations
  6. Assessing the Bilingual Knowledge Learned by Neural Machine Translation ModelsarXiv:2004.13270 · original ↗ · no summary yetShilin He et al.2020 · 2 citations
  7. Identifying the Achilles' Heel: An Iterative Method for Uncovering Factual Errors in Large Language ModelsFindings of the Association for Computational Linguistics: ACL 2026 · original ↗ · no summary yetWenxuan Wang et al.2026

 Co-authors here

9 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 228 times (of the 141,840 papers whose bibliographies we read); 29 citing papers with a page here →.

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