Author

Mingzhou Jiang

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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

#machine learning Preprint Sep 2026

Beyond Scores: Understanding LLM-as-a-Judge Mechanisms in Summarization Evaluation

This work investigates LLM-based evaluators of natural language generation quality mechanistically through an eight-attack perturbation taxonomy across the Readability and Adequacy dimensions of NLG quality, a generation pipeline that produces paired clean and corrupt summaries with controlled error intensity and expli...

Himil Vasava, Ming-Zhou Jiang · 0 citations