Authors are invited to submit full papers describing original research work in areas including, but not limited to:
(Note: Since this is a computer-related conference, please submit papers that are computer-oriented.)

TRACK 1: Large Language Model Agents Theory and Applications

Multimodal LLM Agents: Vision-language-audio integrated agent systems
Agent Planning and Reasoning: Task decomposition, path planning, and logical reasoning with large models
Tool Use and API Integration: External tool invocation and system integration capabilities for agents
Multi-Agent Collaboration: Large model-driven multi-agent coordination and cooperation mechanisms
Agent Safety and Alignment: Safety assurance and value alignment for trustworthy AI agents
Domain-Specific Agents: Specialized agents for vertical domains such as healthcare, finance, and education
Agent Evaluation and Benchmarking: Capability assessment frameworks and standardized testing for intelligent agents
Agent Memory and Learning: Long-term memory systems and continual learning for persistent agents
Human-Agent Interaction: Natural language interfaces and interaction design for AI agents
Agent Architecture and Infrastructure: Scalable frameworks and platforms for deploying LLM agents

TRACK 2: Social Computing and Human-AI Collaboration

Computational Social Science: Simulation, prediction, and modeling of social phenomena and communities
Human-AI Collaboration Patterns: Workflow design for AI agent and human cooperation
Social Network Dynamics: Behavioral pattern mining and analysis in large-scale social networks
Collective Intelligence: Group decision-making, crowdsourcing, and distributed problem-solving systems
Agent-Driven Social Modeling: Using AI agents for social behavior analysis and human preference learning
Social Media and Cultural Computing: Content analysis, sentiment analysis, cross-cultural AI systems, and bias mitigation
AI Ethics and Social Impact: Research on AI systems' effects on social structures, relationships, and equity
Explainable and Socially-Aware AI: Interpretable AI systems that understand and adapt to social contexts
Digital Governance and Policy: AI applications in public administration, policy-making, and social governance
Social Robotics and Interaction: Human-robot interaction in social and collaborative contexts
Digital Humanities: AI applications in humanities research and cultural heritage preservation