Unverified50% confidenceFactExact time
The concreteness semantic attribute showed significantly higher shared variance with LLaMA2-7B across the whole brain and most examined regions than abstract attributes.
1
Sources
50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedUsing natural fMRI data collected from 7 subjects while listening to narrative stories, the study uses variance decomposition techniques to split the variance in brain activity predicted by LLaMA2-7B and SCRIBE each into shared variance and their own unique variance.67% similarUnverified长期多语言使用者的前额叶皮层、扣带回及基底节区域往往表现出更高的灰质密度和更强的功能性连接67% similarUnverified视觉皮层中从高级脑区回传到低级脑区的反馈连接数量往往超过前馈连接66% similarUnverifiedExisting structured pruning methods usually assign and rank importance weights at the MLP block or attention head level, with relatively coarse granularity, which loses the information about differences in importance among different neurons within an MLP block.65% similarUnverified外部分类器依赖表面特征匹配，与语言模型缺乏深度语义共享，难以真正理解上下文意图64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1046853API
curl https://kongchang.com/api/v1/knowledge/claims/1046853MCP
get_claim(id=1046853)