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About this paper
Muhammad Sohail Danish, Gilles Q. Hacheme, Akram Zaytar, Satej S. Soman, Inbal Becker-Reshef, Juan Lavista Ferres, Salman Khan, Girmaw Abebe Tadesse
GeoFaham coordinates disaster-response mapping workflows by assigning retrieval and analysis to specialist agents, tracking dependencies, and validating geospatial artifacts before handoff. It stores large files outside the model’s context and passes compact references and metadata between agents. On 40 tasks, it scores 0.940 versus 0.879 for Codex, with gains concentrated in data selection and spatial-temporal reasoning, not implementation correctness.
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