关注
Elena Gribovskaya
Elena Gribovskaya
DeepMind
在 google.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
13262023
Scaling language models: Methods, analysis & insights from training gopher
JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ...
arXiv preprint arXiv:2112.11446, 2021
9192021
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
2842024
Motion learning and adaptive impedance for robot control during physical interaction with humans
E Gribovskaya, A Kheddar, A Billard
2011 IEEE International Conference on Robotics and Automation, 4326-4332, 2011
2322011
Internet-augmented language models through few-shot prompting for open-domain question answering
A Lazaridou, E Gribovskaya, W Stokowiec, N Grigorev
arXiv preprint arXiv:2203.05115, 2022
1732022
Learning non-linear multivariate dynamics of motion in robotic manipulators
E Gribovskaya, SM Khansari-Zadeh, A Billard
The International Journal of Robotics Research 30 (1), 80-117, 2011
1562011
Learning collaborative manipulation tasks by demonstration using a haptic interface
S Calinon, P Evrard, E Gribovskaya, A Billard, A Kheddar
2009 International Conference on Advanced Robotics, 1-6, 2009
1472009
Teaching physical collaborative tasks: object-lifting case study with a humanoid
P Evrard, E Gribovskaya, S Calinon, A Billard, A Kheddar
2009 9th IEEE-RAS International Conference on Humanoid Robots, 399-404, 2009
1432009
Mind the gap: Assessing temporal generalization in neural language models
A Lazaridou, A Kuncoro, E Gribovskaya, D Agrawal, A Liska, T Terzi, ...
Advances in Neural Information Processing Systems 34, 29348-29363, 2021
1202021
Cyprien de Masson d’Autume
JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ...
942021
Cyprien de Masson d’Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew J
JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, HF Song, J Aslanides, ...
Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William S. Isaac …, 2021
632021
Learning motion dynamics to catch a moving object
S Kim, E Gribovskaya, A Billard
2010 10th IEEE-RAS International Conference on Humanoid Robots, 106-111, 2010
622010
Combining dynamical systems control and programmingby demonstration for teaching discrete bimanual coordination tasks to a humanoid robot
E Gribovskaya, A Billard
Proceedings of the 3rd ACM/IEEE international conference on Human robot …, 2008
612008
Streamingqa: A benchmark for adaptation to new knowledge over time in question answering models
A Liska, T Kocisky, E Gribovskaya, T Terzi, E Sezener, D Agrawal, ...
International Conference on Machine Learning, 13604-13622, 2022
432022
Learning nonlinear multi-variate motion dynamics for real-time position and orientation control of robotic manipulators
E Gribovskaya, A Billard
2009 9th IEEE-RAS International Conference on Humanoid Robots, 472-477, 2009
422009
Pitfalls of static language modelling
A Lazaridou, A Kuncoro, E Gribovskaya, D Agrawal, A Liska, T Terzi, ...
arXiv preprint arXiv:2102.01951, 2021
302021
Cyprien de Masson d’Autume, Tomas Kocisky, Sebastian Ruder, Dani Yogatama, Kris Cao, Susannah Young, and Phil Blunsom. 2021. Mind the Gap: Assessing Temporal Generalization in …
A Lazaridou, A Kuncoro, E Gribovskaya, D Agrawal, A Liska, T Terzi, ...
Advances in Neural Information Processing Systems 34, 29348-29363, 2021
272021
Cyprien de Masson d’Autume, Tomáš Kociský, Sebastian Ruder, Dani Yogatama, Kris Cao, Susannah Young, and Phil Blunsom. 2021. Mind the gap: Assessing temporal generalization in …
A Lazaridou, A Kuncoro, E Gribovskaya, D Agrawal, A Liska, T Terzi, ...
Advances in Neural Information Processing Systems, 0
26
Scaling Language Models: Methods
JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ...
Analysis & Insights from Training Gopher. arXiv, 2021
252021
Do Large Language Models Latently Perform Multi-Hop Reasoning?
S Yang, E Gribovskaya, N Kassner, M Geva, S Riedel
arXiv preprint arXiv:2402.16837, 2024
152024
系统目前无法执行此操作,请稍后再试。
文章 1–20