(The following topics include but are not limited to)
Track 1: Large Model Technology
Architecture and Design of Large Language Models (LLMs)
Theoretical and Methodological Foundations of Basic Models
Multimodal Large Models (Visual-Language, Audio-Language, etc.)
Pre-training and Self-Supervised Learning of Large Models
Retrieval-Augmented Generation (RAG) Technology
Model Alignment and Human Feedback Reinforcement Learning (RLHF)
Model Compression, Distillation, and Efficient Deployment
The Illusion of Large Models and Fact Enhancement
Security, Alignment, and Ethical Governance of Large Models
Evaluation of Large Models, Explainability, and Explainable AI (XAI)
Continuous Learning of Models and Domain Adaptation
Federated Learning and Distributed Training of Large Models
Applications of Large Models in Vertical Fields (Finance, Healthcare, Law, etc.)
Large Models and Embodied Artificial Intelligence (Embodied AI)
Track 2: Neural Networks
Design of Deep Neural Network Architectures
Graph Neural Networks (GNN) and Graph Representation Learning
Generative Adversarial Networks (GANs) and Diffusion Models
Self-Supervised Learning and Contrastive Learning
Meta-Learning and Small Sample Learning
Reinforcement Learning and Deep Reinforcement Learning
Multi-task Learning and Transfer Learning
Neural Architecture Search (NAS) and Automated Machine Learning
Optimization Algorithms and Theories of Deep Learning
Deep Generative Models (VAE, Flow, etc.)
Neural Symbolic Reasoning and Cognitive Modeling
Spiking Neural Networks (SNN) and Brain-Computer Simulation
Privacy Protection and Robustness in Deep Learning
Multimodal Fusion and Cross-modal Representation Learning
Lightweight Neural Networks and Edge AI
Interpretability and Visualization of Neural Networks
Track 3: Natural Language Processing
Natural Language Understanding and Semantic Analysis
Text Generation and Automatic Summarization
Machine Translation and Multilingual Models
Sentiment Analysis, Opinion Mining, and Emotion Detection
Information Extraction and Knowledge Graph Construction
Question Answering Systems and Dialogue Systems
Text Classification, Clustering, and Topic Modeling
Information Retrieval and Knowledge Management
Speech Recognition and Speech Synthesis Technology
Named Entity Recognition and Relationship Extraction
Syntax Checking and Complex Reasoning
Document Processing and Intelligent Writing Assistance
Social Media Text Analysis and False Information Detection
Computer-Assisted Language Learning (CALL)
Fairness, Bias, and Ethics in NLP
Cross-Language and Low-Resource Language Processing
Multimodal NLP (Image-Text, Video-Text, etc.) ......