Elamur Research⌕
☰
home / authors / Kimberly Lopez

Kimberly Lopez

Kimberly Lopez has 2 papers in our library, in 2026, most of them on Language models & pretraining; often with Adaku Uchendu, Alexia E. Schulz, Catherine Liu.

2 papers in our library · 2026

OpenAlex · h-index 1 · 6 works · 1 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #12086

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

🎓Harvey Mudd CollegeClaremont · United States2026 · 2 paperscurrent

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 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputational Theory and Mathematics · 1 work

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

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. The Shape of Vulnerability: How Adversarial Perturbations Reshape the Topology of Language Model Latent Spaces (2026)
    Adversarial prompts can push LLMs into degraded or harmful behaviour. Most interpretability tools look for linear features in isolated components, so they reveal little about how such inputs reshape a model's internal geometry. This ACL 2026 Student Research Workshop paper applies topological data analysis…
  2. Using Topological Data Analysis to Characterize the Layers of Language Models Before and After Word Substitution Attacks (2026)
    Synonym-swapping attacks such as TextFooler can flip a classifier's predictions. Existing analyses of these attacks examine only model outputs and reveal little about how the perturbation travels through the network. This paper uses topological data analysis (TDA) to trace how such attacks reshape attention maps at…

 Co-authors here

5 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.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/kimberly-lopez/