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Virginia Smith

Virginia Smith has 2 papers in our library, in 2026, most of them on Language models & pretraining, Interpretability; often with Aashiq Muhamed, Mona Diab, Kun Zhang.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 21 · 76 works · 3,231 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 15 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #11013

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

🎓Carnegie Mellon UniversityPittsburgh · United States2017–2026 · 39 paperscurrent🎓University of California, BerkeleyBerkeley · United States2013–2017 · 8 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

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

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. RefusalBench: Generative Evaluation of Selective Refusal in Grounded Language Models (2026 · 2 citations)
    Retrieval-augmented systems need to recognize when the supplied documents cannot support a trustworthy answer and decline to respond.
  2. Mechanistic Interpretability Should Prioritize Feature Consistency in Sparse Autoencoders (2026 · 1 citation)
    Sparse autoencoders (SAEs) are a popular way to break LLM activations into sparse, human-readable features.

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. Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes ↗arXiv:2402.05406 · no summary yetSteven Kolawole et al.2024 · 18 citations
  2. RefusalBench: Generative Evaluation of Selective Refusal in Grounded Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Aashiq Muhamed, Leonardo F. R. Ribeiro, Markus Dreyer, et al.2026 · 2 citations
  3. Mechanistic Interpretability Should Prioritize Feature Consistency in Sparse AutoencodersAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangchen Song, Aashiq Muhamed, Yujia Zheng, et al.2026 · 1 citation

 Co-authors here

4 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 15 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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