Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking (2023.findings-emnlp)
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| Challenge: | Recent studies show that large language models (LLMs) rank documents based on the probability of generating the query given the content of a document. |
| Approach: | They propose a ranking system that integrates LLMs with a hybrid zero-shot retriever. |
| Outcome: | The proposed system shows exceptional ranking in both zero-shot and few-shot scenarios. |
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