

Conference Dates
July 17-19, 2026
Venue
Hangzhou, China
Full Paper Submission Date
April 2, 2026
Registration Deadline
March 5, 2026
Final Paper Submission Date
June 3, 2026
The 2026 International Conference on Large Models and Intelligent Agent Technologies (LMIAT 2026) will be held in Hangzhou, China, from July 17 to 19, 2026. The conference will convene global scholars and engineers in artificial intelligence to address cutting‑edge advances and emerging trends in large models and intelligent agentstechnologies. With a focus on theory and application, LMIAT 2026 establishes a interdisciplinary forum for academic‑industrial exchange, featuring in‑depth sessions on foundational theories, agent frameworks, multi‑agent systems, and integrated applications.
The conference will explore the foundational theories and key technologies of large models and intelligent agents, encompassing cutting‑edge topics such as efficient training of large models, multimodal fusion, safety alignment, reinforcement learning, agent cognitive architectures, task planning, multi‑agent collaboration, and adaptive learning. It seeks to advance methodological frameworks, deepen the understanding of underlying mechanisms, and catalyze paradigm shifts in cognitive modeling, autonomous decision‑making, and human‑machine collaboration. Furthermore, aligned with the theme of “Technology and Application Integration,” the conference will showcase and examine innovative applications across diverse domains, highlighting critical areas such as healthcare, smart manufacturing, autonomous driving, aerospace systems, industrial inspection, and edge computing. By convening interdisciplinary researchers and practitioners, it aims to stimulate problem‑driven innovation for complex real‑world challenges and accelerate the translation of research breakthroughs into industrial impact.

Generative Large Models
Pre-trained Language Models
Multimodal Fusion
Efficient Training and Optimization of Large Models
Distributed and Parallel Training Systems
Model Compression and Lightweight Design
Hardware Acceleration and Heterogeneous Computing
Reinforcement Learning with Large Models
Interpretability and Behavioral Analysis
Open-Source Models and Ecosystems
Symbolic and Logical Reasoning
Causal Inference
Agent Decision Making and Cognition Modeling
Online and Continual Learning
Safety, Alignment and Evaluation

Agent Cognitive Architecture Agent System Design Task Planning and Goal Decomposition Tool use and Action Orchestration Multi-Agent Collaboration Embodied Agents Human-Agent Collaborative Systems Agent Environmental Perception for Agents Adaptive Agents Agent Transfer Learning Edge Intelligence

All papers,both invited and contributed, the accepted papers, will be published for inclusion into Conference proceedings with meeting scope and quality requirements, and also submitted to EI Compendex and Scopus for indexing. All conference proceedings paper can not be less than 4 pages.
Please send the full paper(word+pdf) to Submission System
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 any academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.

(Conference Secretary)


Tel: +86-18138788748(WeChat)
E-Mail: iclmiat@163.com