Mid-layer LLM value vectors, projected through a contrastively trained MLP, enable zero-shot retrieval of documents by ad-hoc entity type.
In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 7935–7956, 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.