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[paper] FloodBrain: Flood Disaster Reporting by Web-based Retrieval Augmented Generation with an LLM

Description

Our pipeline assimilates information from web search results to produce detailed and accurate reports on flood events.

Project type

AILLM

Status

Done

URL

https://arxiv.org/abs/2311.02597

FloodBrain: Flood Disaster Reporting by Web-based Retrieval...

Fast disaster impact reporting is crucial in planning humanitarian assistance. Large Language Models (LLMs) are well known for their ability to write coherent text and fulfill a variety of tasks...

arxiv.org

Submitted to Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop @Neurips2023. All authors contributed equally to this work.