ICLR 2026 - Submissions
Submissions
Summary Statistics
| Quantity AI Content | Count | Avg Rating |
|---|---|---|
| 0-10% | 1 (100%) | 4.00 |
| 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%) | 4.00 |
| Title | Abstract | Avg Rating | Quantity AI Content | Reviews | Pangram Dashboard |
|---|---|---|---|---|---|
| CausalPlan: Empowering Efficient LLM Multi-Agent Collaboration Through Causality-Driven Planning | Large language model (LLM) agents often generate causally invalid plans in collaborative tasks due to their reliance on surface-level correlations rather than grounded causal reasoning. This limitatio... | 4.00 | 7% | See Reviews | View AI Dashboard |