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Dean F. Hougen

Dean F. Hougen has 2 papers in our library, in 2026, most of them on Text generation, Evaluation & benchmarks, Interpretability; often with Maisha Maliha.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 18 · 153 works · 1,478 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #12896

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 OklahomaNorman · United States2002–2026 · 100 paperscurrent🎓University of MinnesotaMinneapolis · United States1993–2002 · 21 papers🎓University of Minnesota SystemMinneapolis · United States2000–2002 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 4Research subjects and languages the work is about.Interpretability · 1 workVision & language · 1 workEvaluation & benchmarks · 1 workText generation · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Mechanistic Interpretability of Text-to-Image Diffusion Models via Cross-Attention Interventions (2026 · 1 citation)
    Cross-attention injects text into Stable Diffusion's UNet, but it is poorly understood which prompt tokens shape which image regions and which internal components carry that influence.
  2. Logic-Level Evaluation of Logical Table-to-Text Generation (2026)
    Aggregate fidelity scores for Logical Table-to-Text (LT2T) generation suggest that LLMs perform well. However, a single score can hide failures on specific operations and does not show whether an error comes from grounding, operator choice or wording. The authors propose a diagnostic framework that splits LT2T into…

 Co-authors here

1 co-author 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

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