7th International Conference on Natural Language Computing and AI (NLCAI 2026) June 27 ~ 28, 2026, Copenhagen, Denmark Scope & Topics 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.
Topics of interest include, but are not limited to, the following 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 Intelligence
- 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
- Data Augmentation for Low Resource and Domain Specific NLP
Ethics, Fairness, Safety and Responsible 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
- NLP for Autonomous Systems, Robotics and Human AI Interaction
Robustness, Efficiency and Real World Deployment
- 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 11, 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 issues of the following journals. Important Dates | Submission Deadline | : | April 11, 2026 | | Authors Notification | : | May 23, 2026 | | Final Manuscript Due | : | May 30, 2026 |
Co - Located Event
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