Unverified50% confidenceBenchmarkExact time
French achieved a top-1 accuracy of 36.12% in MLM prediction, while Italian was only 29.28%.
1
Sources
50%
Confidence
Long-term
Relevance
10/8/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe locally run Gemma 26B achieved an accuracy of only 49.2% across 453 scored predictions, while its paired always-predict-up baseline had an accuracy of 53.4%.70% similarUnverifiedTop-1% accuracy is a metric for evaluating the output consistency between a quantized model and the original full-precision model, focusing on whether the top 1% of tokens with the highest model confidence are consistent with the full-precision version.65% similarUnverifiedIn comprehensive benchmark tests, Sol scores 55 (approximately 78.6%), Terra scores 44 (approximately 62.9%), and Luna scores 31 (approximately 44.3%).63% similarUnverifiedState-of-the-art supervised models on the LIAR benchmark still hover around 28%–32% six-class accuracy.63% similarUnverifiedDirectly querying the VLM yielded a four-label exact-match accuracy of only 22.6%.62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/986685API
curl https://kongchang.com/api/v1/knowledge/claims/986685MCP
get_claim(id=986685)