Unverified50% confidenceBenchmarkExact time
在16倍压缩下,AdaMem的子串匹配相比均匀分配基线最高提升3.2个百分点(5.5%),平均相对增益为3.4%
1
Sources
50%
Confidence
Long-term
Relevance
9/22/2026
First Seen
Sources
Related Entities
Related Claims
Unverified在完全相同的模型下,仅靠Harness策略优化,ARC-AGI-3得分从13.3%提升到38.3%,同时输出Token节省约六倍68% similarUnverified投机解码在候选token接受率较高时每次前向传播有效输出token可达2~4个,整体生成速度提升1.5x~3x66% similarUnverifiedDude相比基线方法,在召回率和精确率上最高提升了22.8%63% similarUnverified在Qwen3系列中,DSpark平均草稿通过率相较EAGLE-3分别提升30.9%、26.7%、30%,相较DeepFlash提升16%-18%63% similarUnverified在同一模型(Claude 4.6 Opus)下,OCR的精度(Precision)为33.9%,通用Agent为7.23%,OCR精度提升约4.7倍62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/940078API
curl https://kongchang.com/api/v1/knowledge/claims/940078MCP
get_claim(id=940078)