4th International Conference on NLP, AI & Information Retrieval
4th International Conference on NLP, AI & Information Retrieval (NLAII 2026)
October 30 ~ 31, 2026, Virtual Conference
https://nlaii2026.org/index
Scope
4th 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
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 03, 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 nde conference will be published by International Journal on Cybernetics & Informatics (IJCI) (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
Submission Deadline : October 03, 2026
Authors Notification : October 19, 2026
Registration & Camera-Ready Paper Due : October 24, 2026
Contact Us
Here’s where you can reach us : nlaiiatnlaii2026.org or confnlaii@gmail.com
Contacts
Organizer
Virtual conference
confnlaii@gmail.com
4th International Conference on NLP, AI & Information Retrieval (NLAII 2026) October 30 ~ 31, 2026, Virtual Conference https://nlaii2026.org/index Scope 4th 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 Argumentation Mining and Applications Artificial Intelligence Tools & Applications Automatic Control Big Data & Business Intelligence Bioinformatics Computational Theories of Learning Computer Vision and Speech Understanding Corpus Analysis Data Mining and Machine Learning Tools Deep Learning, Neural Languages and NLP Fuzzy Logic Heuristic and AI Planning Strategies and Tools Hybrid Intelligent Systems Information Extraction, Retrieval Information Retrieval and AI Intelligent System Architectures Knowledge Representation& Knowledge based Systems Multimedia & Cognitive Informatics Natural language and Ubiquitous Computing Natural Language in Conceptual Modeling Natural Language Processing Neural Networks NLP techniques for Ambient Intelligence Information Technologyin Education NLP techniques for Internet of Things (IoT) Pervasive Computing and Ambient Intelligence Programming Languages Question Answering (QA) Reasoning and Evolution Recent Trends and Developments Robotics Semantic Processing & NLP Semantic Web Techniques and Technologies Semantic Web, Open Linked Data, and Ontologies Social Media and Web Analytics Soft Computing Theory and Applications Software & Hardware Architectures Text Mining Web Intelligence Applications & Search