32 citations · 161 across the 38 of their papers we have counts for
5 papers · 2 filters
Collecting Interactive Multi-modal Datasets for Grounded Language Understanding
Shrestha Mohanty, Negar Arabzadeh, Milagro Teruel +9
Human intelligence can remarkably adapt quickly to new tasks and environments. Starting from a very young age, humans acquire new skills and learn how to solve new tasks either by…
Recurrent Memory Transformer
Aydar Bulatov, Yuri Kuratov, Mikhail S. Burtsev
Transformer-based models show their effectiveness across multiple domains and tasks. The self-attention allows to combine information from all sequence elements into context-aware…
IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022
Julia Kiseleva, Alexey Skrynnik, Artem Zholus +14
Human intelligence has the remarkable ability to adapt to new tasks and environments quickly. Starting from a very young age, humans acquire new skills and learn how to solve new t…
Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021
Julia Kiseleva, Ziming Li, Mohammad Aliannejadi +18
Human intelligence has the remarkable ability to quickly adapt to new tasks and environments. Starting from a very young age, humans acquire new skills and learn how to solve new t…
Knowledge Distillation of Russian Language Models with Reduction of Vocabulary
Alina Kolesnikova, Yuri Kuratov, Vasily Konovalov +1
Today, transformer language models serve as a core component for majority of natural language processing tasks. Industrial application of such models requires minimization of compu…