ICLR 2026 - Submissions

SubmissionsReviews

Submissions

Summary Statistics

Quantity AI Content Count Avg Rating
0-10% 1 (100%) 4.67
10-30% 0 (0%) N/A
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%) 4.67
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models The security issue of large language models (LLMs) has gained wide attention recently, with various defense mechanisms developed to prevent harmful output, among which safeguards based on text embeddi... 4.67 0% See Reviews View AI Dashboard
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