ICLR 2026 - Submissions

SubmissionsReviews

Submissions

Summary Statistics

Quantity AI Content Count Avg Rating
0-10% 0 (0%) N/A
10-30% 1 (100%) 4.00
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%) 4.00
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
SaFT: Spotting Style Imitation and Filtering Content Interference for Zero-Shot LLM-Generated Text Detection Large language models (LLMs) have achieved advanced text generation capabilities, necessitating the development of reliable LLM-generated text detection to prevent potential misuse. However, current p... 4.00 22% See Reviews View AI Dashboard
PreviousPage 1 of 1 (1 total rows)Next