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Evan Hernandez

Evan Hernandez has 2 papers in our library, in 2023, most of them on Language models & pretraining, Knowledge graphs & ontologies; often with Jacob Andreas, Arnab Sen Sharma, Belinda Z. Li.

2 papers in our library · 2023

OpenAlex · ORCID · h-index 10 · 61 works · 228 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 178 times in our library · ⭐ Paper Stars ranking: #6495

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

🎓Texas Tech University Health Sciences CenterLubbock · United States2023–2026 · 46 paperscurrent🎓Texas Tech UniversityLubbock · United States2023–2026 · 36 paperscurrent🎓Rush UniversityChicago · United States2025–2026 · 12 paperscurrent🏥University Medical CenterLubbock · United States2025–2026 · 9 paperscurrent🎓Massachusetts Institute of TechnologyCambridge · United States2021–2023 · 3 papers🔬MIT Computer Science and Artificial Intelligence LaboratoryCambridge · United States2021 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 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 2Research subjects and languages the work is about.Language models & pretraining · 2 worksKnowledge graphs & ontologies · 1 work

 Works by year

2020s

20232 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Inspecting and Editing Knowledge Representations in Language Models (2023 · 115 citations)
    Language models store facts about entities, both from pretraining and from the prompt, but these internal facts can be wrong or can override what the context says.
  2. Linearity of Relation Decoding in Transformer Language Models (2023 · 82 citations)
    Transformer language models clearly store relational facts, such as entity–attribute or word–synonym pairs.

 Co-authors here

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

 Cited by

Papers of our library cite their works 178 times (of the 149,439 papers whose bibliographies we read); 42 citing papers with a page here →.

Updated

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