no code implementations • 27 Feb 2024 • Tanise Ceron, Neele Falk, Ana Barić, Dmitry Nikolaev, Sebastian Padó
Due to the widespread use of large language models (LLMs) in ubiquitous systems, we need to understand whether they embed a specific worldview and what these views reflect.
1 code implementation • 19 Oct 2023 • Dmitry Nikolaev, Tanise Ceron, Sebastian Padó
We carry out the analysis of the Comparative Manifestos Project dataset across 41 countries and 27 languages and find that the task can be efficiently solved by state-of-the-art models, with label aggregation producing the best results.
1 code implementation • 17 May 2023 • Tanise Ceron, Dmitry Nikolaev, Sebastian Padó
The workflow covers (a) definition of suitable policy domains; (b) automatic labeling of domains, if no manual labels are available; (c) computation of domain-level similarities and aggregation at a global level; (d) extraction of interpretable party positions on major policy axes via multidimensional scaling.
1 code implementation • 21 Oct 2022 • Tanise Ceron, Nico Blokker, Sebastian Padó
Even though fine-tuned neural language models have been pivotal in enabling "deep" automatic text analysis, optimizing text representations for specific applications remains a crucial bottleneck.
