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% | 0 (0%) | N/A |
| 50-70% | 0 (0%) | N/A |
| 70-90% | 1 (100%) | 3.00 |
| 90-100% | 0 (0%) | N/A |
| Total | 1 (100%) | 3.00 |
| Title | Abstract | Avg Rating | Quantity AI Content | Reviews | Pangram Dashboard |
|---|---|---|---|---|---|
| Reasoning at the Right Length: Adaptive Budget Forcing for Efficient and Accurate LLM Inference | Large Language Models (LLMs) face persistent challenges in domain-specific reasoning tasks, particularly in fields such as mathematics, telecommunications, and scientific problem-solving, where struct... | 3.00 | 79% | See Reviews | View AI Dashboard |