ICLR 2026 - Submissions

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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
An Empirical Study and Theoretical Explanation on Task-Level Model-Merging Collapse Model merging unifies independently fine-tuned LLMs from the same base, enabling reuse and integration of parallel development efforts without retraining. However, in practice we observe that merging ... 4.00 15% See Reviews View AI Dashboard
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