ICLR 2026 - Submissions

SubmissionsReviews

Submissions

Summary Statistics

Quantity AI Content Count Avg Rating
0-10% 0 (0%) N/A
10-30% 0 (0%) N/A
30-50% 1 (100%) 6.00
50-70% 0 (0%) N/A
70-90% 0 (0%) N/A
90-100% 0 (0%) N/A
Total 1 (100%) 6.00
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
Synthetic History: Evaluating Visual Representations of the Past in Diffusion Models As Text-to-Image (TTI) diffusion models become increasingly influential in content creation, growing attention is being directed toward their societal and cultural implications. While prior research h... 6.00 36% See Reviews View AI Dashboard
PreviousPage 1 of 1 (1 total rows)Next