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Zhihao Zhang

Zhihao Zhang has 3 papers in our library, in 2022–2026, most of them on Language models & pretraining, Summarization, Semitic languages; often with Carolina Scarton, Chenghua Lin, Chenming Shang.

3 papers in our library · 2022–2026

OpenAlex · ORCID · h-index 9 · 33 works · 320 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 182 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6038

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

🎓Fudan UniversityShanghai · China2024–2025 · 3 paperscurrent🎓Jilin UniversityChangchun · China2025 · 1 papercurrent🔬Shanghai Artificial Intelligence LaboratoryShanghai · China2025 · 1 papercurrent🎓Tianjin UniversityTianjin · China2025 · 1 papercurrent🎓Xi'an Jiaotong UniversityXi'an · China2025 · 1 papercurrent🎓Beihang UniversityBeijing · China2022 · 4 papers🎓Tongji Zhejiang CollegeJiaxing2019–2020 · 2 papers🔬State Key Laboratory of Intelligent Technology and SystemsBeijing · China2010–2011 · 2 papers🎓Tsinghua UniversityBeijing · China2010–2011 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 12 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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksBiochemistry, Genetics and Molecular Biology · 1 workMolecular Biology · 1 work

🧭 Topics 4Research subjects and languages the work is about.Summarization · 1 workLanguage models & pretraining · 2 worksSemitic languages · 1 workInterpretability · 1 work

 Works by year

2020s

20261 paper20241 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature (2022 · 115 citations)
    Lay summarisation means condensing a scientific article and rewriting it in plain language so that non-specialists can follow it.
  2. Unveiling Linguistic Regions in Large Language Models (2024 · 39 citations)
    LLMs transfer skills across languages well, but it is unclear which parameters support this. The authors look for the parts of LLaMA-2-7B/13B responsible for linguistic competence. The models undergo further pre-training with 100,000 samples drawn from each of six languages, namely Vietnamese, Korean, Chinese…
  3. Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models (2026 · 9 citations)
    Most earlier reviews of mechanistic interpretability (MI) in LLMs describe what researchers have discovered inside models.

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Making Science Simple: Corpora for the Lay Summarisation of Scientific LiteratureConference on Empirical Methods in Natural Language Processing (EMNLP)Tomas Goldsack, Zhihao Zhang, Chenghua Lin, et al.2022 · 115 citations
  2. LLaMA Beyond English: An Empirical Study on Language Capability Transfer ↗arXiv:2401.01055 · no summary yetJun Zhao et al.2024 · 78 citations
  3. Unveiling Linguistic Regions in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhihao Zhang, Jun Zhao, Qi Zhang, et al.2024 · 39 citations
  4. Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language ModelsFindings of the Association for Computational LinguisticsHengyuan Zhang, Zhihao Zhang, Ercong Nie, et al.2026 · 9 citations

 Co-authors here

12 of 16 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 182 times (of the 149,439 papers whose bibliographies we read); 41 citing papers with a page here →.

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