Real-world shopping often requires constructing a basket of complementary items rather than retrieving a single product. Such combo-shopping tasks arise in device setup, meal preparation, event planning, and group takeout ordering, requiring joint reasoning about item compatibility, availability, store-level requiremen...
Adrian Li, Ke-Long Mao, Yu-Dong Guo et al.· 2 citations
Large language models are reshaping ecommerce from static recommenders into interactive shopping assistants, yet real-world shopping requires session-level decision support: users reveal and revise constraints, coordinate multiple goals, and expect product-grounded recommendations over a full conversation. Existing ben...
Xin-Wei Yang, Ke-Long Mao, Yu-Dong Guo et al.· 0 citations
Language-model agents increasingly tackle long-horizon tasks whose interaction histories exceed the model's active context. Recent work has begun to use reinforcement learning to make memory control part of the policy, often relying on predefined memory tools within domain-specific training environments of relatively s...
Li-Rui Luo, Ke-Long Mao, He-Ming Xia et al.· 0 citations
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