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Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking

Research article (Findings of the Association for Computational Linguistics: EMNLP 2023, 2023) · cited 30× · AI/ML
academia openalex:W4389520486
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Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking

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Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking. Retrieved May 24, 2026, from https://4ort.xyz/entity/open-source-large-language-models-are-strong-zero-shot-query-likelihood-models-for-document-ranking
MLA “Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/open-source-large-language-models-are-strong-zero-shot-query-likelihood-models-for-document-ranking.
BibTeX @misc{4ortxyz_open-source-large-language-models-are-strong-zero-shot-query-likelihood-models-for-document-ranking_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking}}, year = {2026}, url = {https://4ort.xyz/entity/open-source-large-language-models-are-strong-zero-shot-query-likelihood-models-for-document-ranking}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking — https://4ort.xyz/entity/open-source-large-language-models-are-strong-zero-shot-query-likelihood-models-for-document-ranking (retrieved 2026-05-24)

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