NLAII 2026: 4th International Conference on NLP, AI & Information Retrieval

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

October 30 ~ 31, 2026, Virtual Conference

Scope & Topics

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 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 September 26, 2026. Submissions must be original and should not have been published previously or be u