CFP

The Technical Committee of the 2027 International Conference on Large Models and General Intelligence (LMGI 2027) invites the submission of original research papers in the fields of large models and general intelligence to be published in the conference proceedings. Each submission is anonymously reviewed by an average of three independent reviewers, to ensure the final high standard and quality of submitted papers. All accepted papers will be included in the conference proceedings, and will be submitted to EI Compendex, Scopus for indexing.

Potential topics include, but are not limited to:

Track 1: Foundations & Theoretical Aspects of General Intelligence

• Mathematical & Logical Foundations: Information Theory, Optimization, Geometry, and Causal Inference

• Learning Theory & Cognitive Architectures: Generalization, Continual Learning, Meta-Learning, and Biologically-Inspired Designs

• World Modeling & Physics-Informed AI: Physical Reasoning, World Models, and Commonsense Knowledge Representation

• Mechanistic Interpretability & Theoretical Analysis: Expressiveness, Scaling Laws, and Representation Theory

Track 2: Large Model Architectures, Training & Post-Training

• Advanced Model Architectures: Transformers, State-Space Models (SSMs), Mixture-of-Experts (MoE), and Hybrid Designs

• Data Curation & Pre-training Methodologies: Data Synthesis, Filtering, Governance, and Pre-training Algorithms

• Post-Training & Alignment Techniques: Reinforcement Learning (RLHF/RLAIF), Direct Preference Optimization (DPO), and Instruction Tuning

• Test-Time Compute & Reasoning Scaling: Inference-Time Search, Process Supervision, and Deliberate Reasoning

Track 3: Autonomous Agents, Complex Reasoning & Embodied AI

• Complex Reasoning & Planning: Logical Deduction, Symbolic Reasoning, and Multi-Step Decision-Making

• Autonomous & Multi-Agent Systems: Tool-Augmented Agents, Memory Systems, Reflection, and Collaborative Multi-Agent Intelligence

• Multimodal Perception & Cross-Modal Learning: Vision-Language Models, Audio/Video Processing, and Spatial Intelligence

• Embodied AI & Physical World Interaction: Robotics Control, Embodied Perception, and Physical-World Grounding

Track 4: Efficient Systems, Infrastructure & Edge Computing

• Distributed Training & Infrastructure: Distributed Systems, Fault Tolerance, Parallelism Strategies, and Network Interconnects

• Hardware Acceleration & AI Co-Design: AI Chip Architectures, Hardware Acceleration, and Hardware-Software Co-Design

• Model Compression & Efficient Inference: Quantization, Pruning, Knowledge Distillation, and Sparse Attention

• Edge Intelligence & Real-Time Systems: On-Device Deployment, Edge Inference, and Low-Latency Computing

Track 5: Trustworthiness, Safety, Evaluation & Domain Applications

• Safety, Alignment, and Governance: Human Value Alignment, Red Teaming, Controllable Generation, and AI Governance

• Evaluation & Benchmarking Frameworks: Comprehensive Evaluation, Dynamic Benchmarks, and Robustness Assessment

• Knowledge-Augmented Systems: Retrieval-Augmented Generation (RAG), Dynamic Knowledge Graph Integration, and Enterprise AI

• AI for Science & Cross-Disciplinary Applications: Scientific Discovery, Healthcare, Finance, and Industrial Intelligence

Important Dates

Last date for paper submission: December 31, 2026

Last date for paper acceptance: January 31, 2027

Last date for registration: February 28, 2027

Publication

All accepted papers will be included in the conference proceedings, and will be submitted to EI Compendex, Scopus for indexing.

Submission Guidelines

All submissions should be formatted according to the template, which will be sent to you upon acceptance.

Please submit your paper via email to lmgi@acamail.org.

Authors should complete their submissions before the designated deadlines. Late submissions will not be considered. The initial and final submissions must be in an editable format. Hardcopy is not accepted.

The latest information can be found on the conference website.

Review Instruction

LMGI 2027 follows the highest standards of publication ethics and takes all possible procedures against any publication misconduct. This Conference does not accept any type of plagiarism, which means that any author replicating a significant part of another's work without acknowledging him/her or passing another's work off as his/her own is not tolerated and not published.

All authors submitting their works to LMGI 2027 for publication as original works confirm that the submitted papers are their own contributions and have not been copied in whole or in part from other works.

Each submission is anonymously reviewed by an average of three independent reviewers, to ensure the final high standard and quality of each accepted submission. The LMGI 2027 guarantees that the entire peer review and publication process is meticulous and objective. Furthermore, all works not in accordance with these standards will be removed from the publication if malpractice is revealed at any time even after the publication. Every case of suspected plagiarism or duplicate publishing will be reported.