MultiSeismo is a new multimodal seismic dataset with 16K events and SeisModal is a domain-adapted model that outperforms general multimodal models on seismic reasoning tasks.
The multimodal universe: enabling large-scale machine learning with 100tb of astronomical scientific data,
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
The P3 selector achieves 0.9809 purity and 0.8869 completeness for QSO candidates in selected fields, outperforming Gaia's official probabilities.
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MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding
MultiSeismo is a new multimodal seismic dataset with 16K events and SeisModal is a domain-adapted model that outperforms general multimodal models on seismic reasoning tasks.
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A Gaia-linked High-purity QSO Candidate Catalog in Selected Fields with Extinction-binned Calibration and Spectrum-informed Training
The P3 selector achieves 0.9809 purity and 0.8869 completeness for QSO candidates in selected fields, outperforming Gaia's official probabilities.