Name: 7th International Conference on Natural Language Computing and AI (NLCAI 2026)
Start: 2026-06-27T00:00:00+02:00
End: 2026-06-27T01:00:00+02:00
Location: Copenhagen, Denmark

7th International Conference on Natural Language Computing and AI (NLCAI 2026)

June 27 ~ 28, 2026, Copenhagen, Denmark

https://aifu2026.org/nlcai/index

The 7th International Conference on Natural Language Computing and AI (NLCAI 2026) serves as a premier global forum for presenting and discussing the latest breakthroughs in natural language processing, artificial intelligence, and intelligent language technologies. As the field undergoes a profound transformation driven by large language models, multimodal systems, and agentic AI, NLCAI 2026 aims to bring together researchers, practitioners, and innovators to explore the next generation of language centric intelligence.

This conference provides a unique platform for advancing the theory, methodology, and applications of modern NLP and AI. From foundation models and retrieval augmented generation to multimodal reasoning, cognitive NLP, and autonomous language agents, NLCAI 2026 highlights the rapidly evolving landscape of language technologies and their growing impact across scientific, industrial, and societal domains.

NLCAI 2026 welcomes high quality submissions that showcase original research results, innovative applications, system prototypes, survey studies, and industrial experiences.

Topics of interest

Large Language Models (LLMs) and Foundation Models

Pre training, Fine tuning, Instruction Tuning and Alignment
Hallucination Mitigation, Safety, Trustworthiness and Governance
Retrieval Augmented Generation (RAG), Memory Augmented Models and Long Context LLMs
Efficient LLMs: Distillation, Quantization, Pruning and Low Compute Adaptation
Continual Learning, Lifelong Adaptation and Model Personalization
Multilingual, Low Resource and Cross Lingual Foundation Models
Evaluation, Benchmarking, Meta Evaluation and Human Preference Modeling

Cognitive, Neuro Inspired and Human Aligned NLP

Cognitive Modeling with LLMs and Human Like Reasoning
Neuro Inspired Architectures and Memory Systems
Human AI Interaction, Alignment and Preference Learning
Cognitive Load, Mental Models and Human Centered NLP

Conversational AI, Dialogue Systems and Agentic Intellig

Dialogue Systems, Chatbots and Multi Turn Reasoning
Task Oriented Dialogue, Planning and Dialogue Management
LLM Based Agents, Tool Using Agents and Autonomous Language Agents
Multi Agent Communication, Collaboration and Emergent Behavior
Emotion Aware, Empathetic and Socially Intelligent Dialogue Systems

Information Extraction, Retrieval and Knowledge Enhanced NLP

Information Extraction, NER, Relation and Event Extraction
Question Answering, Reading Comprehension and Open Domain QA
Text Summarization, Paraphrasing, Entailment and Natural Language Generation
Knowledge Graphs, Ontologies, Neuro Symbolic NLP and Knowledge Infused Models
Neural IR, Dense Retrieval, Hybrid Retrieval and Vector Search
Fact Checking, Stance Detection and Misinformation Detection

Multimodal, Vision Language and Embodied AI

Vision Language Models (VLMs) and Multimodal Transformers
Image/Video Captioning, Visual Question Answering (VQA)
Speech Recognition, Speech Synthesis and Spoken Language Understanding
Audio Text Multimodal Learning and Cross Modal Retrieval
Embodied AI, Vision Language Action Models and Robotics NLP
Simulation to Real Transfer for Language Conditioned Agents

Machine Translation and Multilingual NLP

Neural Machine Translation (NMT) and Multilingual MT
Low Resource, Zero Shot and Few Shot Translation
Cross Lingual Transfer Learning and Multilingual Representations
Code Switching, Dialect Modeling and Language Preservation
Cultural Aware NLP and Global Language Technologies

Data Centric NLP and Synthetic Data Ecosystems

Dataset Curation, Annotation Quality and Data Governance
Data Contamination Detection and Dataset Auditing
Synthetic Data Generation, Evaluation and Alignment
Data Centric Approaches for LLM Training and Fine Tuning

Ethics, Fairness, Safety and Responsible NLP

Data Augmentation for Low Resource and Domain Specific NLP
Bias Detection, Fairness and Inclusive NLP
Privacy Preserving NLP and Federated Learning
Explainability, Interpretability and Transparency
Red Teaming LLMs, Jailbreak Prevention and Safety Evaluation
Societal Impact, Policy Aligned Models and Regulatory Compliance

Reasoning, Logic and Advanced Inference

Chain of Thought Reasoning and Multi Step Inference
Symbolic Neural Hybrid Models and Neuro Symbolic Reasoning
Mathematical Reasoning, Logical Inference and Program Synthesis
Long Horizon Reasoning, Planning and Task Decomposition

Domain Specific NLP and Applied Language Technologies

Biomedical NLP, Clinical Text Mining and Healthcare AI
Legal NLP, Financial NLP and Scientific Document Understanding
NLP for Chemistry, Biology and Automated Scientific Discovery
Social Media Analytics, Sentiment Analysis and Opinion Mining
Educational NLP, Intelligent Tutoring and Automated Assessment

Robustness, Efficiency and Real World Deployment

NLP for Autonomous Systems, Robotics and Human AI Interaction
Robustness to Noise, Adversarial Attacks and Distribution Shift
Efficient Inference, Edge Deployment and On Device NLP
Monitoring, Evaluation and Lifecycle Management of Deployed Models
Real World Benchmarks, Stress Testing and Production Grade NLP
LLM Tooling, Orchestration Frameworks and Prompt Engineering Automation

Paper Submission

Authors are invited to submit papers through the conference Submission System by April 25, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from NLCAI 2026, after further revisions, will be published in the special issue of the following journal.