2022-09-14 · article · Topic Modeling · en
highly citedClaims drawn from cited facts, not live model generation.
This paper is a published article on Topic Modeling that systematically surveys prompting methods in natural language processing. As an article, it has undergone peer review, lending its findings substantial credibility.
4 cited facts
This work is the product of a small team of 3 researchers.
1 cited fact
The work has been cited 3,674 times, making it an established reference point in its field. It references 120 sources.
3 cited facts
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing is an article, focusing on Topic Modeling, published in 2022.
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing has 3,674 citations in our record, placing it among the highly cited works we track.
Our record lists 3 authors for Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing and references 120 other works. Author names aren't in our data yet — the source link on the page lists the full byline.
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Sources: openalex_works