80 citations · 93 across the 4 of their papers we have counts for
4 papers
People Are Highly Cooperative with Large Language Models, Especially When Communication Is Possible or Following Human Interaction
Paweł Niszczota, Tomasz Grzegorczyk, Alexander Pastukhov
Machines driven by large language models (LLMs) have the potential to augment humans across various tasks, a development with profound implications for business settings where effe…
Large language models can replicate cross-cultural differences in personality
Paweł Niszczota, Mateusz Janczak, Michał Misiak
We use a large-scale experiment (N=8000) to determine whether GPT-4 can replicate cross-cultural differences in the Big Five, measured using the Ten-Item Personality Inventory. We…
GPT has become financially literate: Insights from financial literacy tests of GPT and a preliminary test of how people use it as a source of advice
Paweł Niszczota, Sami Abbas
We assess the ability of GPT -- a large language model -- to serve as a financial robo-advisor for the masses, by using a financial literacy test. Davinci and ChatGPT based on GPT-…
Judgments of research co-created by generative AI: experimental evidence
Paweł Niszczota, Paul Conway
The introduction of ChatGPT has fuelled a public debate on the use of generative AI (large language models; LLMs), including its use by researchers. In the current work, we test wh…