Author

Hang-Jun Xu

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#artificial intelligence Preprint Sep 2026

CompoWorld: Compositional Environment Scaling for General Agents

Automatically generated environments provide a scalable source of interaction data for training general agents. However, existing approaches mainly generate tasks within a single environment, while real-world workflows require agents to connect information and actions across multiple services. We introduce Compositiona...

Xiao-Wen Yang, Wei-Yi Xu, Wen Da et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Agentic ML Exploration (A-MLE) for Ads Ranking

Modern industrial ads ranking stacks are increasingly bottlenecked not by model capacity or training compute, but by the throughput of human ML iteration - the cycles of research, implementation, training, debugging, evaluation, and launch required to surface a single statistically significant improvement. A typical ra...

Erwin Gao, Vinodh Kumar Sunkara, Jing Guan et al. · 0 citations