ICLR 2026 - Submissions

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Submissions

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Quantity AI Content Count Avg Rating
0-10% 0 (0%) N/A
10-30% 1 (100%) 3.50
30-50% 0 (0%) N/A
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70-90% 0 (0%) N/A
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Total 1 (100%) 3.50
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
Characterising Overprecision in Black-Box LLMs: A Cognitive Science Inspired Framework Overconfidence in large language models (LLMs) has attracted growing attention due to its implications for the reliability of model outputs. Most existing approaches study verbalized confidence, where... 3.50 23% See Reviews View AI Dashboard
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