ICLR 2026 - Submissions

SubmissionsReviews

Submissions

Summary Statistics

Quantity AI Content Count Avg Rating
0-10% 1 (100%) 4.00
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%) 4.00
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations Currently, utilizing large language models to understand the 3D world is becoming popular. Yet existing 3D‑aware LLMs act as black boxes: they output bounding boxes or textual answers without revealin... 4.00 0% See Reviews View AI Dashboard
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