CLIR-Bench - Missingness Awareness: leaderboard
Metric: Accuracy (%) on missingness awareness (whether the observations support a reliable answer), 4-option multiple-choice questions over serialized irregular ICU time series (Full-TS input), chance 25; higher is better. Source: arxiv.org. Saturation forecast: Around December 2026. 15 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Kimi K2.6 | 73.33 |
| 2 | DeepSeek V4 Flash | 45 |
| 3 | GPT-5.4 Mini | 45 |
| 4 | Gemma 4 12B (IT) | 34.33 |
| 5 | Gemma 3 27B (IT) | 33.17 |
| 6 | Qwen 3.5 4B | 24.67 |
| 7 | Qwen 3.5 9B | 23.67 |
| 8 | Gemini 2.5 Flash | 23.33 |
| 9 | Qwen 3.6 27B | 14 |
Interactive version: theaggregate.ai/benchmark?slug=clir-bench-missingness-awareness · How It Works · Data refreshed daily, snapshot 2026-09-29.