Mid-layer LLM value vectors, projected through a contrastively trained MLP, enable zero-shot retrieval of documents by ad-hoc entity type.
In Find- ings of the Association for Computational Linguis- tics: EMNLP 2023 , pages 2027–2051, Singapore
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NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings
Mid-layer LLM value vectors, projected through a contrastively trained MLP, enable zero-shot retrieval of documents by ad-hoc entity type.