🧪 Test?View on arXiv
KDASO: Knowledge-Data Dual-Driven Automated Skill Optimization for Liability Adjudication Tasks
skill optimizationliability adjudicationLLMautomated reasoning
2611.06972
Builder Relevance
3h ago80%
Abstract
KDASO addresses the limitations of existing approaches in liability adjudication by continuously evolving skill libraries and optimizing skill selection.
Reality Card
Core Claim
KDASO significantly outperforms current general-purpose and domain-specific baselines in liability adjudication tasks.
Method / Result
Achieved an 8.96% improvement when transferring skills to concept-similar scenarios.
Limitations
The dynamic evolution of skill libraries may pose challenges in maintaining consistency across different scenarios.
Paper to code
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