ICLR 2026 - Submissions

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Submissions

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Avg Rating: 0-11-22-33-44-55-66-77-88-99-10All

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Quantity AI Content Count Avg Rating
0-10% 0 (0%) N/A
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30-50% 1 (100%) 4.00
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70-90% 0 (0%) N/A
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Total 1 (100%) 4.00
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
The Surprising Soupability of Documents in State Space Models We investigate whether hidden states from Structured State Space Models (SSMs) can be merged post hoc to support downstream reasoning. Inspired by model souping, we propose a strategy where documents ... 4.00 39% See Reviews View AI Dashboard
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