CLIR-Bench - Temporal Grounding: leaderboard
Metric: Accuracy (%) on temporal grounding (locate the time points or intervals that answer the question), 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 October 2027. 15 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 Mini | 58.33 |
| 2 | Kimi K2.6 | 50 |
| 3 | Gemma 4 12B (IT) | 45 |
| 4 | Gemini 2.5 Flash | 41.67 |
| 5 | Qwen 3.5 4B | 29.17 |
| 6 | DeepSeek V4 Flash | 28.33 |
| 7 | Qwen 3.5 9B | 27.17 |
| 8 | Qwen 3.6 27B | 23.17 |
| 9 | Gemma 3 27B (IT) | 22.33 |
Interactive version: theaggregate.ai/benchmark?slug=clir-bench-temporal-grounding · How It Works · Data refreshed daily, snapshot 2026-09-29.