ESF-Bench - Corrections: leaderboard

ESF-Bench (ServiceNow, 2026) slot accuracy on slots tagged with the Corrections scenario category: user corrections and relative or conditional updates of earlier values. In percent, higher is better.

Metric: Tagged slot accuracy (%; slots tagged with a COR (Corrections) scenario, user corrections and relative or conditional updates of earlier values; 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 Flash84.1#453
2Qwen 3 32B (Thinking)83.4#960 (Qwen 3 32B)
3GPT-5.1 (High)78.3#229 (GPT-5.1)
4Ministral-3-14B-Reasoning-251276.8#1396
5GPT-OSS-120B (High)72.6#700 (GPT-OSS-120B)
6GPT-OSS-120B (Low)70.7#700 (GPT-OSS-120B)
7Gemini 2.5 Flash (Non-reasoning)68.1#453 (Gemini 2.5 Flash)
8GPT-5.1 (Non-reasoning)67.8#229 (GPT-5.1)
9Qwen 3 32B (Non-reasoning)64.6#960 (Qwen 3 32B)
10Ministral-3-14B-Instruct-251259.6#1593

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-corrections · How It Works · Data refreshed daily, snapshot 2026-11-13.