Unverified50% confidenceBenchmarkExact time
On the Qwen-3.5-4B-Instruct model, the top two principal axes matched the style dimensions of human spontaneous requests with a precision of 72.8% and a macro-averaged recall of 43.6%.
1
Sources
50%
Confidence
Long-term
Relevance
9/18/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedOn Qwen-3.5-4B-Instruct, 75.6% of validity scores judged that the generated results at both poles of the principal axes accurately corresponded to their labels, with an annotator adjacent-agreement rate as high as 90.9%.73% similarUnverifiedQwen3.7 Max的输出质量高度依赖提示词质量，同一模型在不同提示词下的性能差异可高达30%-50%73% similarUnverifiedIn matched-frame controlled experiments conducted on six Qwen-series models, the caption approach improved average accuracy by 3.22 points and 2.55 points respectively under frame-aligned conditions.72% similarUnverifiedThe fine-tuned Qwen3.5-4B model improved accuracy on BU Bench V1 from 15% to 53%.69% similarUnverifiedAccording to Artificial Analysis data, Qwen3.8B ranks 26th among more than 600 models participating in the rankings.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/931130API
curl https://kongchang.com/api/v1/knowledge/claims/931130MCP
get_claim(id=931130)