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Author

Yunhao Zhou

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Preprint Aug 2026

Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding?

Embeddings have emerged as a standard representational interface linking foundation models with downstream systems. Most embedding benchmarks assess representations through discriminative tasks or geometric criteria centered on separability in embedding space. However, strong performance on such evaluations does not es...

Yun Li, Biao Yang, Pei-Xi Wu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Reason What Matters: Retrieval-Grounded Reasoning for Universal Multimodal Embeddings

Universal multimodal embedding (UME) learns unified representations across modalities, enabling a single model to support diverse retrieval tasks. Recent methods use Chain-of-Thought (CoT) reasoning to better interpret multimodal inputs before generating embeddings for complex retrieval tasks and further optimize this...

Mingzhou Jiang, Pei-Xi Wu, Hang Cheng et al. · 0 citations

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