Search Results for author: Kyle Seelman

Found 2 papers, 1 papers with code

Labeled Interactive Topic Models

no code implementations15 Nov 2023 Kyle Seelman, Mozhi Zhang, Jordan Boyd-Graber

To facilitate user interaction with these neural topic models, we have developed an interactive interface.

Topic Models

What's Different between Visual Question Answering for Machine "Understanding" Versus for Accessibility?

1 code implementation26 Oct 2022 Yang Trista Cao, Kyle Seelman, Kyungjun Lee, Hal Daumé III

We aim to answer this question by evaluating discrepancies between machine "understanding" datasets (VQA-v2) and accessibility datasets (VizWiz) by evaluating a variety of VQA models.

Benchmarking Question Answering +1

Cannot find the paper you are looking for? You can Submit a new open access paper.