ICLR 2026 - Submissions
Submissions
Summary Statistics
| Quantity AI Content | Count | Avg Rating |
|---|---|---|
| 0-10% | 0 (0%) | N/A |
| 10-30% | 0 (0%) | N/A |
| 30-50% | 1 (100%) | 4.00 |
| 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 |
|---|---|---|---|---|---|
| ExpeSQL: An Experience-Guided Decompositional Search Framework for Text-to-SQL | Large language models have advanced Text-to-SQL, yet enterprise deployment remains challenging due to complex, evolving schemas, domain shift, privacy constraints, and latency/cost budgets. We introdu... | 4.00 | 34% | See Reviews | View AI Dashboard |