(Topics include but are not limited to)
Architecture Design of Large scale Pre trained Model
Efficient model training and parameter fine-tuning strategy
Multimodal Large Model (Text Image Video Audio)
Generative AI (diffusion model GAN、 Variational Autoencoder
Interpretability and Reasoning Enhancement of Large Models
Large model security alignment and ethical governance
Large model lightweighting and edge deployment
Quality assessment of generated content and suppression of hallucinations
Construction of Agent System Based on Large Model
The Application of Large Models in Scientific Discoveries
New paradigms of self supervision and contrastive learning
Distributed Training and Efficient Parallel Computing
Large scale model context learning and few sample generalization
Cross language and cross modal transfer learning
Vertical Large Models for Specific Fields
Optimization and Acceleration of Large Model Reasoning
Innovation of Generative AI in Code Generation and Program Repair
Automated machine learning driven by large models
Retrieval Enhancement Generation Technology
Adversarial samples and robustness of generative models
Large model knowledge editing and updating
Integration of Large Models and Symbolic Reasoning
The Application of Generative AI in Creative Content Production
Privacy and Copyright Protection of Big Model Data
The Social Impact and Policy Response of Generative AI