Papers by Tanzima Hashem

2 papers
MapAgent: A Hierarchical Agent for Geospatial Reasoning with Dynamic Map Tool Integration (2026.findings-eacl)

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Challenge: Existing frameworks for large language models are tailored to domains such as mathematics, coding, or web automation.
Approach: They propose a hierarchical multi-agent plug-and-play framework with customized toolsets and agentic scaffolds for map-integrated geospatial reasoning.
Outcome: The proposed framework decouples planning from execution and reduces cognitive load on users.
Similar Region Search using LLMs on Spatial Feature Space (2026.findings-eacl)

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Challenge: Existing similarity search methods fail to capture contextual richness of spatial data . existing methods fail in capturing regional characteristics, authors say .
Approach: They propose a similar region search framework that ranks candidate regions based on their similarity to a query region using large language models.
Outcome: The proposed similar region search framework outperforms state-of-the-art methods on real-world city datasets.

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