ICLR 2026 - Submissions
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 |
|---|---|---|---|---|---|
| ConstrainPrompt: Code-Based Assurance of Prompt-Defined Constraints | Large language models (LLMs) are increasingly used in applications where outputs must satisfy hard, application–critical constraints (e.g., JSON format, lexical inclusion, and length limits). When the... | 4.50 | 13% | See Reviews | View AI Dashboard |