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
Discourse-Aware Retrieval-Augmented Generation via Rhetorical Structure Modeling Retrieval-Augmented Generation (RAG) has emerged as an important means for enhancing the performance of large language models (LLMs) in knowledge-intensive tasks. However, most existing RAG strategies... 4.50 24% See Reviews View AI Dashboard
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