SKR is a local, unsupervised method that improves LLM performance on financial document tasks by over 40% in retrieval recall, 76% in detection latency reduction, and 33% in anomaly AUPRC, outperforming leading models by at least 12.6%.
It is calculated as the area of their intersection divided by the area of their union: IoU= Area(Bp ∩B gt) Area(Bp ∪B gt) (7) We report the mean IoU across all test samples
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Self Knowledge Re-expression: A Fully Local Method for Adapting LLMs to Tasks Using Intrinsic Knowledge
SKR is a local, unsupervised method that improves LLM performance on financial document tasks by over 40% in retrieval recall, 76% in detection latency reduction, and 33% in anomaly AUPRC, outperforming leading models by at least 12.6%.