SOURCE-LINKED INTELLIGENCE
Advancing Model Research in AgentX: Long-Horizon Autonomy for Industrial Recommender Systems
Sustaining industrial recommendation research requires using the results of one experiment to decide what to investigate next. We present AgentX-Model, the next generation of AgentX's model research framework, which connects proposal development and model experimentation within sandboxes defined by business inputs and prediction tasks. AgentX-Model adopts a dual-agent architecture comprising a Research Agent and a Model Agent. The Research Agent develops independently reviewed proposals from papers and experimental findings, while the Model Agent conducts multi-round investigations and returns
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-24T15:45:07.000Z
First collected: 2026-09-25T06:12:46.948Z. This is not the publication date.