WAG builds a query-adaptive knowledge graph from wearable data using hierarchical Bayesian modeling to retrieve relevant context for LLM reasoning and reports ~70% win rate over baselines.
*(Limitation: Empty response from knowledge retrieval)* W AG(Rank-1) – Context Matched nodes: data: No data Nodes related to matched nodes which might be helpful
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Query-Conditioned Graph Retrieval for Contextualized LLM Reasoning in Personalized Wearable Data
WAG builds a query-adaptive knowledge graph from wearable data using hierarchical Bayesian modeling to retrieve relevant context for LLM reasoning and reports ~70% win rate over baselines.