ICLR 2026 - Submissions

SubmissionsReviews

Submissions

Summary Statistics

Quantity AI Content Count Avg Rating
0-10% 1 (100%) 6.50
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%) 6.50
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
Training LLMs with LogicReward for Faithful and Rigorous Reasoning Although LLMs exhibit strong reasoning capabilities, existing training methods largely depend on outcome-based feedback, which can produce correct answers with flawed reasoning. Prior work introduces ... 6.50 0% See Reviews View AI Dashboard
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