Natural Language Processing
• Large Language Models (LLMs): Training, Evaluation, Alignment
• Retrieval Augmented Generation (RAG) and Knowledge Enhanced NLP
• Text Generation, Summarization, and Paraphrasing
• Information Extraction, Entity Linking, and Relation Extraction
• Semantic Processing, Semantic Parsing, and Representation Learning
• Question Answering, Reasoning, and Knowledge Intensive NLP
• Dialogue Systems, Conversational AI, and Intelligent Agents
• Argumentation Mining and Computational Social Science
• Low Resource, Cross Lingual, and Multilingual NLP
• NLP for Social Media, Misinformation, and Online Safety
• Multimodal, Speech and Cross Modal AI
• Deep Learning Architectures and Optimization
• Self Supervised, Semi Supervised, and Unsupervised Learning
• Reinforcement Learning and Decision Making Systems
• Meta Learning, Continual Learning, and Lifelong Learning
• Probabilistic Modeling and Bayesian Deep Learning
• Causal Machine Learning and Counterfactual Reasoning
• Federated, Distributed, and Privacy Preserving ML
• AutoML, Model Compression, and Efficient Inference
• Graph Machine Learning and Knowledge Enhanced AI
• Graph Neural Networks (GNNs) and Graph Mining
• Knowledge Graph Construction, Completion, and Reasoning
• Semantic Reasoning, Linked Data Integration, and Ontology Driven AI
• Hybrid Neural Symbolic Models and Structured Reasoning
• Data Centric AI and Scalable ML Systems
• Data Centric AI, Data Quality, and Data Governance
• Scalable ML Pipelines, Distributed Systems, and Big Data Processing
• Data Mining for Structured, Unstructured, and Streaming Data
• High Performance Computing for ML and Large Scale Model Training
Trustworthy, Safe and Responsible AI
• Fairness, Accountability, Transparency, and Ethics in AI
• Adversarial ML, Robustness, and Secure Learning
• Bias Detection, Mitigation, and Responsible Dataset Design
• Explainable and Interpretable Machine Learning
• AI Safety, Red Teaming, and Risk Assessment
• Applied NLP and Domain Specific AI
• Healthcare, BioNLP, and Clinical Data Mining
• Finance, Economics, and Risk Modeling
• Legal NLP, Policy Analysis, and Government Applications
• Environmental AI, Climate Informatics, and Sustainability
• Education, Learning Analytics, and Intelligent Tutoring Systems
• Industrial AI, Smart Manufacturing, and Predictive Maintenance
• AI for Scientific Discovery and Automated Research
• Dataset Creation, Benchmarking and Evaluation Science
• Dataset Creation, Curation, and Annotation Methodologies
• Benchmark Design, Evaluation Frameworks, and Error Analysis
• Reproducibility, Model Diagnostics, and Evaluation Science
• Human in the Loop Evaluation and Annotation Quality

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