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Generative retrieval stands out as a promising new paradigm in text retrieval that aims to generate identifier strings of relevant passages as the retrieval target.
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Autoregressive search engines: Generating substrings as document identifiers
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Generative retrieval for conversational question answering
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Multiview Identifiers Enhanced Generative Retrieval
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Simlm: Pre-training with representation bottleneck for dense passage retrieval
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Dynamic Graph Reasoning for Conversational Open-Domain Question Answering
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How Does Generative Retrieval Scale to Millions of Passages?
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