Papers by Md Hasebul Hasan

1 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.

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