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
10-30% 1 (100%) 1.50
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%) 1.50
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
LLM-ERM: Sample-Efficient Program Learning via LLM-Guided Search We seek algorithms for program learning that are both sample-efficient and computationally feasible. In the realizable short-program regime, length-first (Occam/MDL) enumeration achieves near-optimal ... 1.50 19% See Reviews View AI Dashboard
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