Author

Zhili Shen

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Preprint Aug 2026

GEM: A Generative Embedding Model Bridging Reasoning and Retrieval

GEM is presented, a generative embedding model that augments retrieval through its own knowledge by explicitly reasoning about user intent and relevance criteria, and its generative nature allows test-time compute scaling via prompting to further enhance retrieval performance.

Zhili Shen, Craig Macdonald · 0 citations