ICLR 2026 - Submissions

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Submissions

Quantity AI Content: 0-10%10-30%30-50%50-70%70-90%90-100%All
Avg Rating: 0-11-22-33-44-55-66-77-88-99-10All

Summary Statistics

Quantity AI Content Count Avg Rating
0-10% 0 (0%) N/A
10-30% 0 (0%) N/A
30-50% 0 (0%) N/A
50-70% 0 (0%) N/A
70-90% 1 (100%) 4.40
90-100% 0 (0%) N/A
Total 1 (100%) 4.40
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
The Matthew Effect of AI Programming Assistants: A Hidden Bias in Software Evolution AI-assisted programming is rapidly reshaping software development, with large language models (LLMs) enabling new paradigms such as vibe coding and agentic coding. While prior works have focused on pr... 4.40 72% See Reviews View AI Dashboard
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