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

Summary Statistics

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%) 2.00
70-90% 0 (0%) N/A
90-100% 0 (0%) N/A
Total 1 (100%) 2.00
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
Typed Chain-of-Thought: A Curry-Howard Framework for Verifying LLM Reasoning While Chain-of-Thought (CoT) prompting enhances the reasoning capabilities of large language models, the faithfulness of the generated rationales remains a critical open problem. We propose a novel th... 2.00 64% See Reviews View AI Dashboard
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