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%) | 3.33 |
| 50-70% | 0 (0%) | N/A |
| 70-90% | 0 (0%) | N/A |
| 90-100% | 0 (0%) | N/A |
| Total | 1 (100%) | 3.33 |
| Title | Abstract | Avg Rating | Quantity AI Content | Reviews | Pangram Dashboard |
|---|---|---|---|---|---|
| Modality-Aware Quantization: Balancing Visual and Textual Fidelity in Multimodal Compression | Vision-language models (VLMs) have achieved remarkable capabilities across multimodal tasks, yet their deployment remains constrained by substantial computational requirements. While post-training qua... | 3.33 | 35% | See Reviews | View AI Dashboard |