Author

Yunkun Xu

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Jul 2026

SearchArt: Training Long-Horizon Search Agent with Scalable Synthetic and Verified Task

SearchArt is introduced, a scalable framework for training long-horizon search agents through verification-driven task synthesis and a multi-stage post-training pipeline, which exhibits adaptive search planning, iterative evidence aggregation, and complex reasoning over extended interaction horizons.

Lang Mei, Xiaohan Yu, Chong Chen et al. · arXiv.org · 1 citation

Jul 2026

AgentOmnia: Scaling Agentic Models for Full-Scenario Applications

A one-round study provides initial evidence for PRD-guided self-evolution, motivating validation at larger scales and in industrial settings, and presents AgentOmnia, a framework coordinating task-space definition, data synthesis, post-training, evaluation, and improvement across To-Consumer (ToC), To-Business (ToB), and To-Employee (ToE) applications.

Hao Jiang, Gang-Tao Xin, Ying Huang et al. · arXiv.org · 0 citations