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 2021 Conference on Empirical Methods in Natu- ral Language Processing, pages 6138–6148
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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.