Expired50% confidenceFactExact time
Using BM25 to route note bodies and the first three messages of a session raised the hit rate of the top four suggestions from 41% to 76%, and halved the token consumption per message.
1
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50%
Confidence
Short-term (~14 days)
Relevance
10/13/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/27/2026(expired)
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UnverifiedThat experiment reached the adaptation criterion specified in the paper (three consecutive sessions passing) at session 14, with both the bold rate and list rate metrics showing a downward trend across the first 36 sessions.67% similarUnverifiedOn the news classification task, few-shot prompting achieved an average improvement of +24 percentage points; on the legal text task the improvement was only +3.4 percentage points, with two models showing performance degradation.65% similarUnverifiedAccording to hands-on testing by Bilibili UP host "1024工程笔记," integrating Ponytail reduced code volume by 54%, lowered token consumption by approximately 20%, and kept security-related check items at 100% passing.65% similarUnverifiedWhen counting only notes not yet in context, the hit rate of BM25 routing rose from 43% to 68%.64% similarUnverified有研究表明当输入文本具有明确结构化标记时，主流LLM的信息提取准确率可提升20%以上，幻觉发生率相应降低63% similar
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