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Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls

Research article (ACM Transactions on Information Systems, 2023) · cited 24× · AI/ML
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Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls

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Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls is a scholarly article[1].

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  • Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls. Retrieved May 24, 2026, from https://4ort.xyz/entity/pseudo-relevance-feedback-with-deep-language-models-and-dense-retrievers-successes-and-pitfalls
MLA “Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pseudo-relevance-feedback-with-deep-language-models-and-dense-retrievers-successes-and-pitfalls.
BibTeX @misc{4ortxyz_pseudo-relevance-feedback-with-deep-language-models-and-dense-retrievers-successes-and-pitfalls_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls}}, year = {2026}, url = {https://4ort.xyz/entity/pseudo-relevance-feedback-with-deep-language-models-and-dense-retrievers-successes-and-pitfalls}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls — https://4ort.xyz/entity/pseudo-relevance-feedback-with-deep-language-models-and-dense-retrievers-successes-and-pitfalls (retrieved 2026-05-24)

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