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Found 5 papers, 1 papers with code
YAYI 2: Multilingual Open-Source Large Language Models
As the latest advancements in natural language processing, large language models (LLMs) have achieved human-level language understanding and generation abilities in many real-world tasks, and even have been regarded as a potential path to the artificial general intelligence.
Traffic Flow Simulation for Autonomous Driving
The architecture of autonomous vehicles is generally divided into a perception system, decision system and control system.
Compressing LSTM Networks by Matrix Product Operators
In this paper, we propose a matrix product operator(MPO) based neural network architecture to replace the LSTM model.
Networking and Internet Architecture Computational Physics Quantum Physics
A Model Compression Method with Matrix Product Operators for Speech Enhancement
In this paper, we propose a model compression method based on matrix product operators (MPO) to substantially reduce the number of parameters in DNN models for speech enhancement.
