Robust Joint and Individual Variance Explained. - Christos Sagonas; Yannis Panagakis; Alina Leidinger; Stefanos Zafeiriou (CVPR, 2017)

Undesirable biases in NLP: Averting a crisis of measurement. - Oskar van der Wal; Dominik Bachmann; Alina Leidinger; Leendert van Maanen; Willem H. Zuidema; Katrin Schulz (CoRR, 2022)

The language of prompting: What linguistic properties make a prompt successful? - Alina Leidinger; Robert van Rooij; Ekaterina Shutova (EMNLP (Findings), 2023)

Probing LLMs for Joint Encoding of Linguistic Categories. - Giulio Starace; Konstantinos Papakostas; Rochelle Choenni; Apostolos Panagiotopoulos; Matteo Rosati; Alina Leidinger; Ekaterina Shutova (EMNLP (Findings), 2023)

Which Stereotypes Are Moderated and Under-Moderated in Search Engine Autocompletion? - Alina Leidinger; Richard Rogers (FAccT, 2023)

Are LLMs classical or nonmonotonic reasoners? Lessons from generics. - Alina Leidinger; Robert van Rooij; Ekaterina Shutova (ACL (Short Papers), 2024)

How Are LLMs Mitigating Stereotyping Harms? Learning from Search Engine Studies. - Alina Leidinger; Richard Rogers (AIES (1), 2024)

CIVICS: Building a Dataset for Examining Culturally-Informed Values in Large Language Models. - Giada Pistilli; Alina Leidinger; Yacine Jernite; Atoosa Kasirzadeh; Alexandra Sasha Luccioni; Margaret Mitchell (AIES (1), 2024)

How far can bias go? - Tracing bias from pretraining data to alignment. - Marion Thaler; Abdullatif Köksal; Alina Leidinger; Anna Korhonen; Hinrich Schütze (CoRR, 2024)

Undesirable Biases in NLP: Addressing Challenges of Measurement. - Oskar van der Wal; Dominik Bachmann; Alina Leidinger; Leendert van Maanen; Willem H. Zuidema; Katrin Schulz (J. Artif. Intell. Res., 2024)