Mikulik, Vladimir

Gemini: A Family of Highly Capable Multimodal Models

Gemini Team, Anil, R., Borgeaud, S., Alayrac, J.-B., Yu, J., Soricut, R., Schalkwyk, J., Dai, A. M., Hauth, A., Millican, K., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 990

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

The Hydra Effect: Emergent Self-repair in Language Model Computations

McGrath, T., Rahtz, M., Kramar, J., Mikulik, V., & Legg, S. (2023) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 140

Teaching language models to support answers with verified quotes

Menick, J., Trebacz, M., Mikulik, V., Aslanides, J., Song, F., Chadwick, M., Glaese, M., Young, S., Campbell-Gillingham, L., Irving, G., et al. (2022) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 53

Risks from Learned Optimization in Advanced Machine Learning Systems

Hubinger, E., van Merwijk, C., Mikulik, V., Skalse, J., & Garrabrant, S. (2019) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 53

Alignment of Language Agents

Kenton, Z., Everitt, T., Weidinger, L., Gabriel, I., Mikulik, V., & Irving, G. (2021) · arXiv

Ethics and Social Impacts of AISpeech and dialogue systems

Cited by 45

Meta-trained agents implement Bayes-optimal agents

Mikulik, V., Delétang, G., McGrath, T., Genewein, T., Martic, M., Legg, S., & Ortega, P. A. (2020) · arXiv

Advanced Bandit Algorithms ResearchReinforcement Learning in Robotics

Cited by 24

Tracr: Compiled Transformers as a Laboratory for Interpretability

Lindner, D., Kramár, J., Farquhar, S., Rahtz, M., McGrath, T., & Mikulik, V. (2023) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 8