ICLR 2026 - Submissions
Submissions
Summary Statistics
| Quantity AI Content | Count | Avg Rating |
|---|---|---|
| 0-10% | 0 (0%) | N/A |
| 10-30% | 1 (100%) | 4.67 |
| 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%) | 4.67 |
| Title | Abstract | Avg Rating | Quantity AI Content | Reviews | Pangram Dashboard |
|---|---|---|---|---|---|
| Planning at Inference: MCTS Test-Time Scaling for Long Video Generation | Generating long videos with consistent content and visual quality remains a ma- jor challenge, as existing one-shot and chunked methods often suffer from se- mantic drift and compounding artifacts. We... | 4.67 | 15% | See Reviews | View AI Dashboard |