ICLR 2026 - Submissions
Submissions
Summary Statistics
| Quantity AI Content | Count | Avg Rating |
|---|---|---|
| 0-10% | 1 (100%) | 5.33 |
| 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%) | 5.33 |
| Title | Abstract | Avg Rating | Quantity AI Content | Reviews | Pangram Dashboard |
|---|---|---|---|---|---|
| Reducing Hallucinations in Generative Models through Truncated Statistics | Hallucinations—where generative models produce invalid or nonsensical outputs—remain a critical challenge for reliable deployment. We present the first computationally and query-efficient algorithm th... | 5.33 | 4% | See Reviews | View AI Dashboard |