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Lin Zhang

Lin Zhang has 3 papers in our library, in 2023, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Bo Li, Junjie Wang, Qianyu He.

3 papers in our library · 2023

OpenAlex · ORCID · h-index 3 · 7 works · 32 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 140 times in our library · ⭐ Paper Stars ranking: #5878

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

🎓Hong Kong University of Science and TechnologyHong Kong · China2018–2026 · 25 paperscurrent🏢Huawei TechnologiesShenzhen · China2026 · 2 papers🎓Hong Kong Baptist UniversityHong Kong · China2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksApplied Mathematics · 1 workMathematics · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 4Research subjects and languages the work is about.Efficient models & compression · 1 workEvaluation & benchmarks · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20233 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Solving Math Word Problems via Cooperative Reasoning induced Language Models (2023 · 86 citations)
    Pre-trained language models often fail on math word problems because they generate text without step-by-step supervision.
  2. LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuning (2023 · 58 citations)
    Full-parameter fine-tuning of large language models needs enormous GPU memory. LoRA is the common cheaper option, but it often falls short of Full-FT because its updates are restricted to a low-rank gradient. The authors argue that LoRA's two factors contribute unequally. The product of the projection-down matrix A…
  3. Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation (2023 · 34 citations)
    Benchmarks such as MMLU, BIG-bench and HELM quickly become too easy for modern LLMs and may leak into their training data.

 Co-authors here

12 of 13 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 140 times (of the 149,439 papers whose bibliographies we read); 31 citing papers with a page here →.

Updated

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