2020-01-01 · conference-paper · Topic Modeling · en
highly citedClaims drawn from cited facts, not live model generation.
This paper focuses on topic modeling and is published as a conference paper. Because it is a conference paper, it has been peer-reviewed and thus carries more weight than an unreviewed preprint.
3 cited facts
This work is the product of a small team of 3 researchers.
1 cited fact
With 1185 citations, this work has already become an established reference point in its field, and it references 31 other works.
3 cited facts
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts is a conference-paper, focusing on Topic Modeling, published in 2020.
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts has 1,185 citations in our record, placing it among the highly cited works we track.
Our record lists 3 authors for AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts and references 31 other works. Author names aren't in our data yet — the source link on the page lists the full byline.
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