ICLR 2026 - Submissions

SubmissionsReviews

Submissions

Summary Statistics

Quantity AI Content Count Avg Rating
0-10% 0 (0%) N/A
10-30% 1 (100%) 4.50
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%) 4.50
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
Teaching LLMs to Plan: Logical Chain-of-Thought Instruction Tuning for Symbolic Planning Large language models (LLMs) have demonstrated impressive capabilities across diverse tasks, yet their ability to perform structured symbolic planning remains limited, particularly in domains requirin... 4.50 27% See Reviews View AI Dashboard
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