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most citedMeasuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive Language

2 citations · 2 across the 4 of their papers we have counts for

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cs.CL2024★ 2 cited

Measuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive Language

Amalie Brogaard Pauli, Isabelle Augenstein, Ira Assent

We are exposed to much information trying to influence us, such as teaser messages, debates, politically framed news, and propaganda - all of which use persuasive language. With th…

cs.CL2024

Can Humans Identify Domains?

Maria Barrett, Max Müller-Eberstein, Elisa Bassignana +3

Textual domain is a crucial property within the Natural Language Processing (NLP) community due to its effects on downstream model performance. The concept itself is, however, loos…