G-STEER uses an Intent Elicitation Graph and evidence-state tracking to train a query refiner that routes between memory retrieval, user clarification, and stopping, improving personalized deep research outcomes.
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Personalized Deep Research Query Refinement with Graph-Scaffolded Evidence Grounding
G-STEER uses an Intent Elicitation Graph and evidence-state tracking to train a query refiner that routes between memory retrieval, user clarification, and stopping, improving personalized deep research outcomes.