11 citations · 12 across the 4 of their papers we have counts for
4 papers
The Dark Patterns of Personalized Persuasion in Large Language Models: Exposing Persuasive Linguistic Features for Big Five Personality Traits in LLMs Responses
Wiktoria Mieleszczenko-Kowszewicz, Dawid Płudowski, Filip Kołodziejczyk +3
This study explores how the Large Language Models (LLMs) adjust linguistic features to create personalized persuasive outputs. While research showed that LLMs personalize outputs,…
Big Tech influence over AI research revisited: memetic analysis of attribution of ideas to affiliation
Stanisław Giziński, Paulina Kaczyńska, Hubert Ruczyński +4
There exists a growing discourse around the domination of Big Tech on the landscape of artificial intelligence (AI) research, yet our comprehension of this phenomenon remains curso…
HADES: Homologous Automated Document Exploration and Summarization
Piotr Wilczyński, Artur Żółkowski, Mateusz Krzyziński +5
This paper introduces HADES, a novel tool for automatic comparative documents with similar structures. HADES is designed to streamline the work of professionals dealing with large…
Climate Policy Tracker: Pipeline for automated analysis of public climate policies
Artur Żółkowski, Mateusz Krzyziński, Piotr Wilczyński +5
The number of standardized policy documents regarding climate policy and their publication frequency is significantly increasing. The documents are long and tedious for manual anal…