Alina Leidinger

Orcid: 0000-0003-2648-6646

According to our database1, Alina Leidinger authored at least 11 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Mitigating Spurious Correlations via Counterfactual Contrastive Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024
Undesirable Biases in NLP: Addressing Challenges of Measurement.
J. Artif. Intell. Res., 2024

How far can bias go? - Tracing bias from pretraining data to alignment.
CoRR, 2024

CIVICS: Building a Dataset for Examining Culturally-Informed Values in Large Language Models.
Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

How Are LLMs Mitigating Stereotyping Harms? Learning from Search Engine Studies.
Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

Are LLMs classical or nonmonotonic reasoners? Lessons from generics.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2024

2023
Which Stereotypes Are Moderated and Under-Moderated in Search Engine Autocompletion?
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Probing LLMs for Joint Encoding of Linguistic Categories.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

The language of prompting: What linguistic properties make a prompt successful?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Undesirable biases in NLP: Averting a crisis of measurement.
CoRR, 2022

2017
Robust Joint and Individual Variance Explained.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017


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