Papers with purpose-driven exploration in dynamic geo-spatial environments remains

    1 papers
    EVGeoQA: Benchmarking LLMs on Dynamic, Multi-Objective Geo-Spatial Exploration (2026.findings-acl)

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    Challenge: Existing geo-spatial question answering benchmarks focus on static retrieval, failing to capture the complexity of real-world planning that involves dynamic user locations and compound constraints.
    Approach: They propose a new benchmark for Large Language Models that integrates location-anchored and dual-objective queries with a user's real-time coordinates.
    Outcome: The proposed model can summarize historical exploration trajectories to enhance exploration efficiency.

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