

2027 International Conference on Artificial Intelligence, Agents, and Large Models
The 2027 International Conference on Artificial Intelligence, Agents, and Large Models (AIALM 2027) will be held on March 26–28, 2027, in Wuhan, Hubei, China. The conference focuses on three frontier research directions—artificial intelligence, intelligent agents, and large models—bringing together experts from universities, research institutes, and industry worldwide. Topics will center on large model architecture and training, multi-agent coordination and decision-making, and their cross-domain applications, fostering in-depth exchange and discussion. The conference aims to establish a high-level academic exchange platform, advance the synergistic innovation of foundational AI theories, key technologies, and engineering applications, and promote industry–academia–research collaboration.
Full Paper
Submission Date
January
26
2027
Notification
Deadline
February
26
2027
Registration
Deadline
March
12
2027
Conference
Dates
March
26-28
2027
The topics of interest for submission include, but are not limited to:
📚︎ Theme 1: Artificial Intelligence Fundamentals
Machine learning and deep learning theories and algorithms
Reinforcement learning and decision optimization
Multimodal data fusion and representation learning
Computer vision and intelligent perception
Natural language processing and speech technology
Explainable AI (XAI) and trustworthy AI
Knowledge graphs and data mining
Distributed, edge, and cloud intelligent computing
📚︎ Theme 2: Large Models (LLM)
Large language model (LLM) architecture and training
Instruction fine-tuning and prompt engineering
Retrieval-augmented generation (RAG)
Multimodal large models
Reasoning, planning, and agent collaboration in large models
Evaluation, safety, and alignment of large models
Domain-specific large models and industrial fine-tuning
Inference acceleration and edge deployment of large models
📚︎ Theme 3: Intelligent Agents
Multi-agent systems and coordinated decision-making
Autonomous agents and task planning
LLM-driven agents
Embodied intelligence and intelligent robotics
Applications of intelligent agents in industry
Human–agent collaboration and human–computer interaction
Digital twins and virtual agents
Cognition, memory, and continual learning of intelligent agents
Please send the full paper (Word+PDF) to Submission System.
All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.