ICLR 2026 - Submissions

SubmissionsReviews

Submissions

Summary Statistics

Quantity AI Content Count Avg Rating
0-10% 0 (0%) N/A
10-30% 1 (100%) 2.67
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%) 2.67
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
Hierarchical Speculative Decoding through Training-Free Slim-Verifier Speculative decoding (SD) addresses the high inference costs of large language models by having lightweight drafters generate candidates for large verifiers to validate in parallel. Current draft-ver... 2.67 22% See Reviews View AI Dashboard
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