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Evolving to Match Capabilities: Improving Harness Self-Evolution via Skill Adaptation
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skill adaptationself-evolutionLLM performancemodel capabilities
2610.33024
Builder Relevance
1h ago80%
Abstract
The paper discusses how harness self-evolution can enhance LLM agents' performance through skill adaptation, particularly for weaker models.
Reality Card
Core Claim
Skill adaptation significantly improves the performance of weaker models by reformulating existing skills to better match their capabilities.
Method / Result
The adaptation improved three weak executors by 5.1-14.1 points over the original skills.
Limitations
The study's findings may not be universally applicable to all models, as benefits vary significantly across different model capabilities.
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