🧪 Test?View on arXiv
Know What You Don't Know: Agentic Data Synthesis by Evolving Generation Space for Closed-Loop Learning
Not provided in the content
data synthesismulti-agent systemsclosed-loop learningfeedback mechanisms
2610.12593
Builder Relevance
8h ago80%
Abstract
The paper proposes EvoSyn, a multi-agent framework that enhances data synthesis for interactive agents by organizing synthesis around revisable states and learner feedback.
Reality Card
Core Claim
EvoSyn improves average task success by 13.3 points over the strongest synthesis baseline while producing higher-quality synthetic experiences.
Method / Result
Improved average task success by 13.3 points.
Limitations
The paper does not specify potential limitations or reproducibility concerns.
Paper to code
Verified implementation resources so builders can test the paper’s claims instead of stopping at the abstract.
No verified implementation link has been attached yet. AIBuzzHub will keep this panel separate from unverified search results.