4 citations · 12 across the 10 of their papers we have counts for
10 papers
Investigating LLMs as Voting Assistants via Contextual Augmentation: A Case Study on the European Parliament Elections 2024
Ilias Chalkidis
In light of the recent 2024 European Parliament elections, we are investigating if LLMs can be used as Voting Advice Applications (VAAs). We audit MISTRAL and MIXTRAL models and ev…
Llama meets EU: Investigating the European Political Spectrum through the Lens of LLMs
Ilias Chalkidis, Stephanie Brandl
Instruction-finetuned Large Language Models inherit clear political leanings that have been shown to influence downstream task performance. We expand this line of research beyond t…
On the Interplay between Fairness and Explainability
Stephanie Brandl, Emanuele Bugliarello, Ilias Chalkidis
In order to build reliable and trustworthy NLP applications, models need to be both fair across different demographics and explainable. Usually these two objectives, fairness and e…
Rather a Nurse than a Physician -- Contrastive Explanations under Investigation
Oliver Eberle, Ilias Chalkidis, Laura Cabello +1
Contrastive explanations, where one decision is explained in contrast to another, are supposed to be closer to how humans explain a decision than non-contrastive explanations, wher…
Regulation and NLP (RegNLP): Taming Large Language Models
Catalina Goanta, Nikolaos Aletras, Ilias Chalkidis +2
The scientific innovation in Natural Language Processing (NLP) and more broadly in artificial intelligence (AI) is at its fastest pace to date. As large language models (LLMs) unle…
PokemonChat: Auditing ChatGPT for Pokémon Universe Knowledge
Laura Cabello, Jiaang Li, Ilias Chalkidis
The recently released ChatGPT model demonstrates unprecedented capabilities in zero-shot question-answering. In this work, we probe ChatGPT for its conversational understanding and…