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papersSEP 10 04:00 UTC

Researchers Propose Composable System for Reproducible Omni-Modal Foundation Model Evaluation

A new research paper introduces an evaluation framework designed to test foundation models across text, image, video, and audio within a single unified pipeline. The work addresses the problem that current modality-specific toolkits rely on incompatible inference engines, prompt conventions, and metric implementations. The system aims to make omni-modal benchmarking composable and reproducible.

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