Papers with hybrid document retrieval system

1 papers
PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval (2024.emnlp-main)

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Challenge: Large language models (LLMs) excel in zero-shot document ranking tasks.
Approach: They propose a prompt-based re-ranking method that requires no further training but is only feasible for reranking a handful of candidates due to computational costs.
Outcome: The proposed method can retrieve documents from the entire corpus without training and with a large amount of paired text data.

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