Unverified50% confidenceBenchmarkExact time
In the benchmark, Verdandi's field macro accuracy was 97.0% versus ACU's 96.2%; Verdandi's line-item F1 was 0.958 versus ACU's 0.947.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/12/2026
First Seen
Valid until: 1/10/2027
Sources
Related Entities
Related Claims
UnverifiedVERGE improved precision from 0.764 to 0.849 and Matthews Correlation Coefficient from 0.681 to 0.73070% similarUnverifiedThe Top3 configuration achieved an accuracy of 97.148%, a weighted F1 of 97.055%, and an MCC of 0.9675, comprehensively outperforming the Full21 configuration using all 21 metrics (accuracy 95.999%, weighted F1 95.521%, MCC 0.9549).67% similarUnverifiedThe best-performing Edu-QuRater achieved an average accuracy of 0.917 in reproducing GPT-4.1-mini pairwise judgments on the held-out set.67% similarUnverifiedThe combination of EfficientNet-B3 and SVM achieved the strongest baseline performance, with an accuracy of 96.31% and a macro F1 score of 96.36%.66% similarUnverifiedThe developer claims MiAPI achieves 82% accuracy on the SimpleQA benchmark, surpassing Perplexity.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1006055API
curl https://kongchang.com/api/v1/knowledge/claims/1006055MCP
get_claim(id=1006055)