SeaAlert: Critical Information Extraction From Maritime Distress Communications with Large Language Models

SeaAlert is an LLM-based framework designed for the robust analysis of maritime distress communications, which are challenging due to noise, deviations from format, and ASR errors. To overcome the lack of real-world labeled data, the framework utilizes an LLM-powered synthetic data generation pipeline.