3 papers
cs.CL2025
Evaluating LLM-Generated Q&A Test: a Student-Centered Study
Anna Wróblewska, Bartosz Grabek, Jakub Świstak +1
This research prepares an automatic pipeline for generating reliable question-answer (Q&A) tests using AI chatbots. We automatically generated a GPT-4o-mini-based Q&A test for a Na…
cs.CL2025
Mind What You Ask For: Emotional and Rational Faces of Persuasion by Large Language Models
Wiktoria Mieleszczenko-Kowszewicz, Beata Bajcar, Jolanta Babiak +3
Be careful what you ask for, you just might get it. This saying fits with the way large language models (LLMs) are trained, which, instead of being rewarded for correctness, are in…
cs.CL2024
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,…