ICLR 2026 - Submissions

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Submissions

Quantity AI Content: 0-10%10-30%30-50%50-70%70-90%90-100%All
Avg Rating: 0-11-22-33-44-55-66-77-88-99-10All

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Quantity AI Content Count Avg Rating
0-10% 0 (0%) N/A
10-30% 0 (0%) N/A
30-50% 0 (0%) N/A
50-70% 1 (100%) 0.50
70-90% 0 (0%) N/A
90-100% 0 (0%) N/A
Total 1 (100%) 0.50
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
AsseslyAI: AI–Powered Assessment Framework for Skill-Oriented Engineering Lab Education Practical lab education in computer science often faces challenges like plagiarism, lack of proper lab records, inadequate execution and assessment, limited student engagement, and absence of progress... 0.50 55% See Reviews View AI Dashboard
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