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TPRF: A Transformer-based Pseudo-Relevance Feedback Model for Efficient and Effective Retrieval
This paper considers Pseudo-Relevance Feedback (PRF) methods for dense retrievers in a resource constrained environment such as that of cheap cloud instances or embedded systems (e. g., smartphones and smartwatches), where memory and CPU are limited and GPUs are not present.
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