Papers by Haojia Zhu

1 papers
GER-LLM: Efficient and Effective Geospatial Entity Resolution with Large Language Model (2025.emnlp-main)

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Challenge: Existing methods for integrating spatial data from diverse sources are limited by their reliance on large amounts of training data and their inability to incorporate commonsense knowledge.
Approach: They propose a framework that integrates large language models into the GER pipeline.
Outcome: The proposed framework improves on real-world geospatial datasets and shows that it is more efficient than state-of-the-art methods.

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