AI RESEARCH
HiMA-Ecom: Enabling Joint Training of Hierarchical Multi-Agent E-commerce Assistants
arXiv CS.AI
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ArXi:2506.19846v2 Announce Type: replace Hierarchical multi-agent systems based on large language models (LLMs) have become a common paradigm for building AI assistants in vertical domains such as e-commerce, where a and evaluating such systems remain scarce, and joint optimization across functionally distinct agents is still challenging. To address this gap, we