22 citations · 32 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 7 cited
PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing
Xiaozhe Ren, Pingyi Zhou, Xinfan Meng +14
The scaling of large language models has greatly improved natural language understanding, generation, and reasoning. In this work, we develop a system that trained a trillion-param…
cs.CL2019★ 3 cited
Task-Oriented Conversation Generation Using Heterogeneous Memory Networks
Zehao Lin, Xinjing Huang, Feng Ji +2
How to incorporate external knowledge into a neural dialogue model is critically important for dialogue systems to behave like real humans. To handle this problem, memory networks…
cs.CL2019★ 22 cited
Teacher-Student Framework Enhanced Multi-domain Dialogue Generation
Shuke Peng, Xinjing Huang, Zehao Lin +3
Dialogue systems dealing with multi-domain tasks are highly required. How to record the state remains a key problem in a task-oriented dialogue system. Normally we use human-define…