(Including but not limited to the following topics)
Track 1: Large Model Technology
Generative Large Models
Pre-trained Language Models
Multimodal Fusion
Efficient Training and Optimization Algorithms for Large Models
Distributed and Parallel Training Systems for Large Models
Model Compression and Lightweighting
Hardware Acceleration and Heterogeneous Computing
Reinforcement Learning and Integration with Large Models
Large Model Probes and Behavior Analysis
Open Source Large Models and Ecosystems
Large Models and Symbolization, Logical Reasoning
Large Models and Causal Inference
Agent Decision-Making and Cognitive Modeling
Large Model Online and Continuous Learning
Large Model Security and Alignment Assessment
Track 2: Natural Language Processing
Level 2 Representation and Processing
Dialog System and Multi-modal System
Intelligent Interface
Text Processing Assistive Tools
Machine Translation
Natural Language Understanding
Machine Translation, Information Retrieval
Dialogue System
System Evaluation
Speech Recognition, Speech Synthesis
Internet Information Retrieval
Natural Language Processing in Healthcare
Track 3: Deep Learning
Recurrent Neural Networks
Sparse Coding
Neural Fuzzy Algorithms
Evolutionary Computation Methods
Convolutional Neural Networks
Deep Hierarchical Networks
Unsupervised Feature Learning
Deep Boltzmann Machines Generative Adversarial Network
Autoencoder
Deep Belief Network
Meta-learning and Deep Networks
Deep Reinforcement Learning
Deep Generative Model Learning
Deep Kernel Learning
Gaussian Processes in Machine Learning
Deployment of Large Models Lightweight model
Generative Automation .....