ESF-Bench - Tagged Slot Accuracy: leaderboard

ESF-Bench (ServiceNow, 2026) slot accuracy restricted to slots tagged with at least one of 57 challenging enterprise scenarios, about two thirds of all slots. In percent, higher is better.

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 February 2027. 10 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Flash80.9#453
2GPT-5.1 (High)78.2#229 (GPT-5.1)
3GPT-OSS-120B (High)76.5#700 (GPT-OSS-120B)
4Qwen 3 32B (Thinking)75.3#960 (Qwen 3 32B)
5Ministral-3-14B-Reasoning-251274.1#1396
6GPT-OSS-120B (Low)73#700 (GPT-OSS-120B)
7GPT-5.1 (Non-reasoning)67.3#229 (GPT-5.1)
8Gemini 2.5 Flash (Non-reasoning)64.5#453 (Gemini 2.5 Flash)
9Ministral-3-14B-Instruct-251256.7#1593
10Qwen 3 32B (Non-reasoning)56.3#960 (Qwen 3 32B)

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=esf-bench-tagged-slot-accuracy · How It Works · Data refreshed daily, snapshot 2026-11-13.