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This paper introduces TH-GNN, a heterogeneous temporal graph neural network that fuses graph structure and textual semantics to detect shilling attacks generated by LLM agents in recommender systems, achieving superior performance over existing methods.
This paper introduces RouteProfile, a design space for LLM profiles in routing systems, demonstrating that structured profiles and query-level signals improve routing performance and generalization to new models.