ICLR 2026 - Submissions

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Submissions

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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%) 2.50
70-90% 0 (0%) N/A
90-100% 0 (0%) N/A
Total 1 (100%) 2.50
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
Test-Time Layer Recurrence Enables Ultra-Deep Thinking in LLMs Without Chain-of-Thought Transformers possess a \textbf{neural depth} of only $O(1)$, which restricts them to solving primarily \textbf{inductive} reasoning problems of bounded depth. In contrast, recurrent models allow the l... 2.50 66% See Reviews View AI Dashboard
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