CLBench-V - Knowledge Learning (L2): leaderboard
Metric: Score (%; instance-weighted mean of the dataset scores, each 0-1 and scaled to percent, over the L2 new-knowledge datasets (CL-Bench-Table, Paper Conclusion); task-specific evaluators: option extraction, normalized or tolerance numeric match, a route-topology judge, and Qwen3.6-27B semantic or rubric judging for open-ended answers). Source: arxiv.org. Saturation forecast: Around 2029. 6 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Kimi K2.6 | 21.86 |
| 2 | Qwen 3.5 Plus | 19.64 |
| 3 | Seed 2.0 Lite | 16.55 |
| 4 | Qwen 3.6 27B | 13.98 |
| 5 | GPT-5.4 | 6.94 |
Interactive version: theaggregate.ai/benchmark?slug=clbench-v-knowledge-learning-l2 · How It Works · Data refreshed daily, snapshot 2026-09-29.