Rimell, Laura
Google DeepMind (United Kingdom)
4 papers on CoChat
Most cited papers
- Verified
Taxonomy of Risks posed by Language Models
Weidinger, L., Uesato, J., Rauh, M., Griffin, C., Huang, P.-S., Mellor, J., Glaese, A., Cheng, M., Balle, B., Kasirzadeh, A., et al. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency
Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection
Cited by 764
- Verified
Ethical and social risks of harm from Language Models
Weidinger, L., Mellor, J., Rauh, M., Griffin, C., Uesato, J., Huang, P.-S., Cheng, M., Glaese, M., Balle, B., Kasirzadeh, A., et al. (2021) · arXiv
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 477
- Verified
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Rae, J. W., Borgeaud, S., Cai, T., Millican, K., Hoffmann, J., Song, F., Aslanides, J., Henderson, S., Ring, R., Young, S., et al. (2021) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 235
- Verified
Exploiting Image Generality for Lexical Entailment Detection
Kiela, D., Rimell, L., Vulić, I., & Clark, S. (2015) · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
Natural Language Processing TechniquesTopic Modeling
Cited by 55
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free