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Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding
Such transformation is achieved by training a recently proposed Vec2Text model based on the ad-hoc query encoder, leveraging the fact that the session and query embeddings share the same space in existing conversational dense retrieval.
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