Author

Yun Li

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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

This work introduces Retrieval-Aware Self-Distillation (RASD), which extracts privileged guidance from input-supported facts and evidence distinguishing the positive from hard negatives, and Retrieval-Adaptive Inference (RAI), which learns a retrieval-aware stopping criterion from prefix-level retrieval feedback.

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