2 citations · 2 across the 4 of their papers we have counts for
4 papers
Analysing Differences in Persuasive Language in LLM-Generated Text: Uncovering Stereotypical Gender Patterns
Amalie Brogaard Pauli, Maria Barrett, Max Müller-Eberstein +2
Large language models (LLMs) are increasingly used for everyday communication tasks, including drafting interpersonal messages intended to influence and persuade. Prior work has sh…
Mind the Style Gap: Meta-Evaluation of Style and Attribute Transfer Metrics
Amalie Brogaard Pauli, Isabelle Augenstein, Ira Assent
Large language models (LLMs) make it easy to rewrite a text in any style -- e.g. to make it more polite, persuasive, or more positive -- but evaluation thereof is not straightforwa…
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…
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…