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Linda Petzold

Linda Petzold has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Bias, fairness & safety, Vision & language; often with Xianjun Yang, Dahua Lin, Qi Zhang.

2 papers in our library · 2023–2024

OpenAlex · ORCID · Wikidata · h-index 67 · 354 works · 20,045 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 138 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7522

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 California, Santa BarbaraSanta Barbara · United States1998–2025 · 247 papersEmployment · Professor, Mechanical Engineering and Computer Sciencecurrent🎓University of MinnesotaMinneapolis · United States1992–2002 · 17 papers🔬Lawrence Livermore National LaboratoryLivermore · United States1987–2005 · 7 papers🔬Institute for Collaborative BiotechnologiesSanta Barbara2012–2018 · 5 papers🔬Sandia National Laboratories CaliforniaLivermore · United States1983–1985 · 4 papers🎓University of California SystemOakland · United States2012–2021 · 2 papers🎓University of Illinois Urbana-ChampaignUrbana · United StatesEducation

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 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 3Research subjects and languages the work is about.Bias, fairness & safety · 1 workLanguage models & pretraining · 1 workVision & language · 1 work

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models (2023 · 103 citations)
    Open-weight chat models such as LLaMa-2-Chat undergo extensive safety alignment, but the authors ask whether this protection survives once anyone can fine-tune the weights.
  2. MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding (2024 · 20 citations)
    Large Vision Language Models (LVLMs) are increasingly pitched as research assistants, but existing benchmarks mostly test simple charts or figures from a narrow set of fields.

All works

3 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. Shadow Alignment: The Ease of Subverting Safely-Aligned Language ModelsarXiv:2310.02949Xianjun Yang, Xiao Wang, Qi Zhang, et al.2023 · 103 citations
  2. A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law ↗arXiv:2405.01769 · no summary yetZhiyu Zoey Chen et al.2024 · 44 citations
  3. MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific UnderstandingarXiv:2407.04903Zekun Li, Xianjun Yang, Kyuri Choi, et al.2024 · 20 citations

 Co-authors here

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

 Cited by

Papers of our library cite their works 138 times (of the 149,439 papers whose bibliographies we read); 41 citing papers with a page here →.

Updated

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