ICLR 2026 - Submissions

SubmissionsReviews

Submissions

Summary Statistics

Quantity AI Content Count Avg Rating
0-10% 0 (0%) N/A
10-30% 1 (100%) 3.50
30-50% 0 (0%) N/A
50-70% 0 (0%) N/A
70-90% 0 (0%) N/A
90-100% 0 (0%) N/A
Total 1 (100%) 3.50
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
Where and Why in Image Forgery: A Benchmark for Joint Localization and Explanation Existing facial forgery detection methods typically focus on binary classification or pixel-level localization, providing little semantic insight into the nature of the manipulation. To address this, ... 3.50 16% See Reviews View AI Dashboard
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