4^th International Conference on NLP, AI & Information Retrieval (NLAII 2026)

October 30 ~ 31, 2026, Virtual Conference

Scope & Topics

4^th International Conference on NLP, AI & Information Retrieval (NLAII 2026)will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Processing, AI and Information Retrieval.

Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to:

Topics of interest include, but are not limited to, the following

• Natural Language Processing and Linguistic Intelligence
  • Natural Language Processing
  • Large Language Models, Foundation Models and Instruction Tuning
  • Generative NLP, Text Generation and Diffusion based Language Models
  • LLM Safety, Alignment, Guardrails and Hallucination Mitigation
  • LLM Reasoning, Tool Use, Planning and Agentic NLP
  • LLM Evaluation, Benchmarking and Robustness
  • LLM Compression, Distillation and Efficient Inference
  • LLM Personalization, Adaptation and On Device Fine Tuning
  • LLM Memory, Long Context Modeling and Retrieval Enhanced Context
  • LLM Driven Data Annotation, Synthetic Corpora and Auto Labeling
  • Corpus Linguistics, Corpus Analysis and Annotation
  • Semantic Processing, Semantic Parsing and Meaning Representation
  • Syntax, Morphology and Linguistic Structure Modeling
  • Discourse, Pragmatics and Narrative Understanding
  • Argumentation Mining and Computational Argumentation
  • Text Mining, Information Extraction and Knowledge Extraction
  • NER, Relation Extraction and Event Extraction
  • Question Answering, Reading Comprehension and Open Domain QA
  • Dialogue Systems, Conversational AI and Chatbots
  • Summarization, Paraphrasing and Text Simplification
  • Sentiment Analysis, Emotion Recognition and Opinion Mining
  • Social Media NLP, Web Analytics and Online Behavior Modeling
• Advanced NLP, Multimodal AI and Speech Technologies
  • Multimodal NLP (Vision–Language–Audio)
  • Unified Multimodal Foundation Models
  • Vision Language Action Models
  • Video Language Understanding and Long Horizon Temporal Reasoning
  • Audio Language Models and Speech LLM Integration
  • Computer Vision, Speech Understanding and Audio Language Models
  • Multimodal RAG, Cross Modal Retrieval and Fusion Models
  • Multimodal Safety, Bias and Robustness
  • NLP for Cognitive Informatics and Human AI Interaction
• Information Retrieval, Search and Web Intelligence
  • Information Retrieval, Ranking and Relevance Modeling
  • Neural IR, Dense Retrieval and Vector Search
  • RAG, RAG 2.0 and Retrieval Optimized Generation
  • Conversational Search and Dialogue Driven Retrieval
  • Federated Search, Privacy Preserving Retrieval and Secure IR
  • Evaluation of IR for LLM Integrated and Agentic Systems
  • Memory Augmented IR and Continual Retrieval
  • Search in Heterogeneous Knowledge Ecosystems
  • Web Search, Web Mining and Web Intelligence
  • Semantic Web, Linked Data and Ontologies
  • Knowledge Graphs, Reasoning and Graph based IR
  • Social Search, Recommendation Systems and Personalization
  • Information Retrieval, Search and Web Intelligence
  • Information Retrieval, Ranking and Relevance Modeling
  • Neural IR, Dense Retrieval and Vector Search
  • RAG, RAG 2.0 and Retrieval Optimized Generation
  • Conversational Search and Dialogue Driven Retrieval
  • Federated Search, Privacy Preserving Retrieval and Secure IR
  • Evaluation of IR for LLM Integrated and Agentic Systems
  • Memory Augmented IR and Continual Retrieval
  • Search in Heterogeneous Knowledge Ecosystems
  • Web Search, Web Mining and Web Intelligence
  • Semantic Web, Linked Data and Ontologies
  • Knowledge Graphs, Reasoning and Graph based IR
  • Social Search, Recommendation Systems and Personalization
• AI, Machine Learning and Intelligent Systems
  • Artificial Intelligence Tools and Applications
  • Machine Learning, Deep Learning and Representation Learning
  • Transformers, Attention Models and Neural Architectures
  • Computational Theories of Learning
  • Reinforcement Learning, Planning and Decision Making
  • Probabilistic Modeling, Bayesian Learning and Causal Inference
  • Hybrid Neuro Symbolic AI and Knowledge Driven Systems
  • Intelligent System Architectures and AI Platforms
  • Robotics, Embodied AI and Language Conditioned Manipulation
• Data Mining, Machine Learning Tools and Knowledge Discovery
  • Data Mining, Knowledge Discovery and Pattern Mining
  • Classification, Clustering, Regression and Association Rules
  • Dimensionality Reduction, Feature Selection and Representation Learning
  • Graph Mining, Social Network Mining and Web Graph Analysis
  • Text, Web, Multimedia and Cognitive Data Mining
  • Mining for LLMs (dataset curation, filtering, bias detection)
  • Human in the Loop and Interactive Data Mining
• NLP for Emerging Domains and Applications
  • NLP for IoT, Cyber Physical Systems and Edge Intelligence
  • NLP for Ambient Intelligence and Ubiquitous Computing
  • NLP for Education, Learning Analytics and EdTech
  • NLP for Healthcare, Clinical Text and Biomedical LLMs
  • NLP for Business Intelligence, Finance and Enterprise AI
  • NLP for Law, Policy and Government
  • NLP for Climate, Sustainability and Environmental Modeling
  • NLP for Scientific Discovery and Automated Research Pipelines
  • NLP for Autonomous Agents and Real World Environments
• Theory, Foundations and Emerging Topics
  • Reasoning, Logic, Planning and Evolutionary AI
  • Knowledge Representation, Ontologies and Conceptual Modeling
  • Explainable NLP, Model Interpretability and Transparency
  • Bias, Fairness, Ethics and Responsible NLP
  • Privacy Preserving NLP (DP, MPC, HE)
  • NLP Security, Jailbreak Detection and Adversarial Attacks
  • Evaluation, Benchmarking and Robustness in NLP/IR
  • Cognitive Simulation, Psycholinguistics and Neuro Cognitive Alignment
  • Recent Trends, Breakthroughs and Future Directions

Paper Submission

Authors are invited to submit papers through the conference Submission System by October 10, 2026(Final Call) . 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 International Journal on Cybernetics & Informatics (IJCI)series (Confirmed).

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

• International Journal of Artificial Intelligence & Applications (IJAIA)
  
• International Journal of Fuzzy Logic Systems (IJFLS)
  
• International Journal on Natural Language Computing (IJNLC)
  
• International Journal of Ubiquitous Computing (IJU)
  
• The International Journal of Ambient Systems and Applications (IJASA)

Important Dates

Co - Located Event

• 4^th International Conference on Education & Integrating Technology (EDIT 2026)
  
• 4^th International Conference on AI, Data Mining and Data Science (AIDD 2026)
  
• 4^th International Conference on Blockchain, Cybersecurity and Internet of Things (BCYIoT 2026)
  
• 4^th International Conference on Computer Science and Information Technology Advances (CCSITA 2026)
  
• 4^th International Conference on Clinical and Medical Sciences (CAMS 2026)
  
• 9^th International Conference on Mechanical Engineering & Applications (MEAP 2026)
  
• 10^th International Conference on Electrical Engineering (ELE 2026)
  
• 4^th International Conference on Vision Computing (VISCOM 2026)
  
• 4^th International Conference on Semantic Technology (SEMTEC 2026)
  
  
  

***** The invited talk proposals can be submitted to nlaii@nlaii2026.org