Röttger, Paul

The benefits, risks and bounds of personalizing the alignment of large language models to individuals

Kirk, H. R., Vidgen, B., Röttger, P., & Hale, S. A. (2024) · Nature Machine Intelligence

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 122

Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models

Röttger, P., Hofmann, V., Pyatkin, V., Hinck, M., Kirk, H., Schuetze, H., & Hovy, D. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 89

XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models

Röttger, P., Kirk, H., Vidgen, B., Attanasio, G., Bianchi, F., & Hovy, D. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 77

Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback

Kirk, H. R., Vidgen, B., Röttger, P., & Hale, S. A. (2023) · arXiv

Ethics and Social Impacts of AINatural Language Processing Techniques

Cited by 22

Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages

Röttger, P., Nozza, D., Bianchi, F., & Hovy, D. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 18

The Ecological Fallacy in Annotation: Modeling Human Label Variation goes beyond Sociodemographics

Orlikowski, M., Röttger, P., Cimiano, P., & Hovy, D. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 9

Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models

Röttger, P., Hofmann, V., Pyatkin, V., Hinck, M., Kirk, H. R., Schütze, H., & Hovy, D. (2024) · arXiv

Ethics and Social Impacts of AISentiment Analysis and Opinion Mining

Cited by 7

XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models

Röttger, P., Kirk, H. R., Vidgen, B., Attanasio, G., Bianchi, F., & Hovy, D. (2023) · arXiv

Adversarial Robustness in Machine LearningHate Speech and Cyberbullying Detection

Cited by 6

Introducing v0.5 of the AI Safety Benchmark from MLCommons

Vidgen, B., Agrawal, A., Ahmed, A. M., Akinwande, V., Al-Nuaimi, N., Alfaraj, N., Alhajjar, E., Aroyo, L., Bavalatti, T., Bartolo, M., et al. (2024) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 5

Near to Mid-term Risks and Opportunities of Open-Source Generative AI

Eiras, F., Petrov, A., Vidgen, B., de Witt, C. S., Pizzati, F., Elkins, K., Mukhopadhyay, S., Bibi, A., Csaba, B., Steibel, F., et al. (2024) · arXiv

Ethics and Social Impacts of AILaw, AI, and Intellectual Property

Cited by 2