Fast Data Attribution for Text-to-Image Models

A preprint pinned to a corkboard: plain grey Helvetica, blue bracketed links, and the plots doing all the talking.

peterwang512.github.io/FastGDAFast Data Attribution for Text-to-Image Models
Screenshot of https://peterwang512.github.io/FastGDA, © the authors. Shown for reference. Request removal
Venue
NeurIPS 2025
Year
2025
First author
Sheng-Yu Wang
Field
data attribution
Template
Isola/Zhang table-layout project page
Theme
Light

Checked against the rendered page. No web fonts load; on Windows the Helvetica Neue Light stack renders as regular-weight Arial.

Why it is here

A spare, almost paper-like style with plain serif-free type and thin rules. It adds variety by putting large, legible result plots (a scatter with speedup arrows, a bar chart) at the centre of the page instead of decoration.

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Helvetica Neue Light
Fast Data Attribution for Text-to-Image Models Abstract · Method · Results · BibTeX — 0123456789
Arial
Fast Data Attribution for Text-to-Image Models Abstract · Method · Results · BibTeX — 0123456789

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