2027 2nd International Conference on Large Language Model Technology and Applications (LMTA 2027)

2027 2nd International Conference on Large Model Technologies and Applications (LMTA 2027) will be held from May 28 to 30, 2027, in Nanjing, China. This conference aims to bring together top scholars, engineers, and industry experts from around the world to explore cutting-edge technologies, innovative applications, and future developments in large models. The topics will cover key areas such as large model architecture optimization, multimodal learning, and industrial deployment. Through in-depth exchanges, we hope to drive breakthroughs in artificial intelligence and foster cross-domain integration, contributing to a smarter and more inclusive AI ecosystem. Hong Kong, with its vibrant technological innovation, provides a perfect backdrop for the conference. We warmly welcome colleagues from all fields to join this grand event and envision the boundless possibilities of intelligent technologies!

Distributed and Parallel LLM Systems; AI Hardware and Accelerated Computing; Cloud and Edge Computing for LLMs; High-Performance Networking and Storage; Resource Management and Scheduling; LLM System Optimization; LLM-Driven Intelligent Systems; Safety, Alignment, and Security of Large Language Models

Large Language Model Architectures; Algorithms and Reasoning with LLMs; Multi-Agent Systems with LLMs; Language-Centered Multimodal Intelligence; LLMs for Information Retrieval; LLMs for Natural Language Processing; LLM-Based Optimization and Decision-Making; LLM for Multimodal Reasoning and Integration; LLM for Scientific and Engineering Text Understanding; Others…

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.