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Ranking rewards can be reused at test time to boost retrieval performance without accessing model weights or ground-truth labels.
Gemini Embedding 2's unified multimodal embeddings beat specialized models across diverse tasks and even generalize zero-shot to niche fields like astronomy and culinary arts.
