ICLR 2026 - Submissions

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Submissions

Summary Statistics

Quantity AI Content Count Avg Rating
0-10% 1 (100%) 5.50
10-30% 0 (0%) N/A
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%) 5.50
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
RefineBench: Evaluating Refinement Capability in Language Models Can language models (LMs) self-refine their own responses? This question is increasingly relevant as more than 10% of real-world user interactions involve refinement requests (see Appendix F). Yet pri... 5.50 0% See Reviews View AI Dashboard
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