Video-MemComp OVO Allocation Weights - CRR: leaderboard
Video-MemComp v1: streaming evaluation of official development sets. Table 1 mixes reproduced starred rows and results from prior papers; frame sampling and average KV budget differ by system and remain in row identity. Backbone checkpoint revision and decoding are not fully specified; source-qualified systems are retained. This is video QA under cache compression, not an unmodified backbone score. Appendix F identifies Qwen2.5-VL-7B on OVO. These are distinct hyperparameter arms evaluated on the same questions, not independently sampled tasks; preserve every configuration. CRR. Metric: Accuracy (%).
Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 27 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Video-MemComp Qwen2.5-VL-7B Allocation Weights [0.30, 0.675, 0.025] | 46.25 | |
| 2 | Video-MemComp Qwen2.5-VL-7B Allocation Weights [0.275, 0.675, 0.05] | 45.42 | |
| 3 | Video-MemComp Qwen2.5-VL-7B Allocation Weights [0.30, 0.65, 0.05] | 45.42 | |
| 4 | Video-MemComp Qwen2.5-VL-7B Allocation Weights [0.70, 0.20, 0.10] | 45.42 | |
| 5 | Video-MemComp Qwen2.5-VL-7B Allocation Weights [0.35, 0.625, 0.025] | 45 | |
| 6 | Video-MemComp Qwen2.5-VL-7B Allocation Weights [0.10, 0.85, 0.05] | 44.58 | |
| 7 | Video-MemComp Qwen2.5-VL-7B Allocation Weights [0.50, 0.40, 0.10] | 44.58 | |
| 8 | Video-MemComp Qwen2.5-VL-7B Allocation Weights [0.10, 0.90, 0.00] | 43.75 | |
| 9 | Video-MemComp Qwen2.5-VL-7B Allocation Weights [0.30, 0.30, 0.40] | 43.75 | |
| 10 | Video-MemComp Qwen2.5-VL-7B Allocation Weights [0.675, 0.275, 0.05] | 43.75 |
Interactive version: theaggregate.ai/benchmark?slug=video-memcomp-ovo-allocation-weights-crr · How It Works · Data refreshed daily, snapshot 2026-10-27.