ESF-Bench - Tagged Slot Accuracy: leaderboard
Metric: Tagged slot accuracy (%; accuracy over the 66.8% of slots tagged with at least one taxonomy scenario; 810 synthetic multi-turn enterprise slot-filling samples (6,530 slots, 8 domains) whose prompts combine a schema, a user-assistant conversation and auxiliary sources; varied output formats mapped to a standard form before exact comparison with the ground truth; 32k maximum tokens, reasoning setting as printed per model). Source: arxiv.org. Saturation forecast: Around December 2026. 10 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 2.5 Flash | 80.9 |
| 2 | GPT-5.1 (High) | 78.2 |
| 3 | GPT-OSS-120B (High) | 76.5 |
| 4 | Qwen 3 32B (Thinking) | 75.3 |
| 5 | Ministral-3-14B-Reasoning-2512 | 74.1 |
| 6 | GPT-OSS-120B (Low) | 73 |
| 7 | GPT-5.1 (Non-reasoning) | 67.3 |
| 8 | Gemini 2.5 Flash (Non-reasoning) | 64.5 |
| 9 | Ministral-3-14B-Instruct-2512 | 56.7 |
| 10 | Qwen 3 32B (Non-reasoning) | 56.3 |
Interactive version: theaggregate.ai/benchmark?slug=esf-bench-tagged-slot-accuracy · How It Works · Data refreshed daily, snapshot 2026-09-29.