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

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on International Journal on Cybernetics & Informatics (IJCI) Proceedings.