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% | 1 (100%) | 1.60 |
| 70-90% | 0 (0%) | N/A |
| 90-100% | 0 (0%) | N/A |
| Total | 1 (100%) | 1.60 |
| Title | Abstract | Avg Rating | Quantity AI Content | Reviews | Pangram Dashboard |
|---|---|---|---|---|---|
| Decoupling of Experts: A Knowledge-Driven Architecture for Efficient LLMs | Current large language models (LLMs), particularly Mixture-of-Experts (MoE) variants, face challenges in achieving efficient, structured, and interpretable scaling. We introduce the Decoupling of Expe... | 1.60 | 69% | See Reviews | View AI Dashboard |