3rd International Conference on NLP, Artificial Intelligence, Machine Learning and <br>Applications (NLAIM 2026)

Program Committee

Accepted Papers

Toronto, Canada

Scope

3^rd International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2026) offers a premier global platform for presenting and exchanging cutting edge research, theoretical insights, advanced methodologies and impactful applications across the rapidly evolving fields of Natural Language Processing, Artificial Intelligence and Machine Learning . As intelligent systems continue to reshape scientific discovery, industry innovation and societal transformation, NLAIM 2026 brings together leading researchers, practitioners and technologists to share breakthroughs, discuss emerging challenges and explore the future of AI driven technologies.

With a strong emphasis on bridging theory and practice,. NLAIM 2026 encourages submissions that demonstrate both fundamental advancements .and real world implementations. The conference serves as a nexus for collaboration between academia and industry, fostering dialogue on practical deployments, industrial case studies and innovative applications of NLP, AI and ML in domains such as healthcare, finance, cybersecurity, robotics and intelligent systems.

Authors are invited to submit high quality articles presenting research results, experimental studies, survey papers, industrial experiences.

Call for Papers

3^rd International Conference on NLP,Artificial Intelligence, Machine Learning and Applications (NLAIM 2026) With a strong emphasis on bridging theory and practice,. NLAIM 2026 encourages submissions that demonstrate both fundamental advancements .and real world implementations. The conference serves as a nexus for collaboration between academia and industry, fostering dialogue on practical deployments, industrial case studies and innovative applications of NLP, AI and ML in domains such as healthcare, finance, cybersecurity, robotics and intelligent systems.

Authors are invited to submit high quality articles presenting research results, experimental studies, survey papers, industrial experiences.

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

AI Ethics, Governance, Safety and Alignment
Deep Learning Architectures and Representation Learning
Automated Machine Learning (AutoML)
Graph Machine Learning and GNNs
Reinforcement Learning and Multi Agent RL
Continual, Lifelong and Meta Learning
Causal ML, Interpretability and Counterfactual Reasoning
Federated, Distributed and Privacy Preserving ML
Mixture of Experts (MoE), Sparse Models and Dynamic Routing
Speculative Decoding, Fast LLM Inference and Model Optimization
Neural Search, Dense Retrieval and Ranking Models
Hybrid Retrieval (Sparse + Dense + RAG)
Vector Databases and Semantic Indexing
Conversational Search and Interactive IR
Vision Transformers and Modern CV Architectures
Neural Fields (NeRFs, Gaussian Splatting) and 3D Reconstruction
Embodied AI, Robot LLM Integration and VLA Models
Multimodal Fusion and Cross Modal Reasoning
LLM Jailbreak Prevention, Watermarking and Model Provenance

AI Ethics, Governance, Safety and Alignment
Deep Learning Architectures and Representation Learning
Automated Machine Learning (AutoML)
Graph Machine Learning and GNNs
Reinforcement Learning and Multi Agent RL
Continual, Lifelong and Meta Learning
Causal ML, Interpretability and Counterfactual Reasoning
Federated, Distributed and Privacy Preserving ML
Mixture of Experts (MoE), Sparse Models and Dynamic Routing
Speculative Decoding, Fast LLM Inference and Model Optimization
Neural Search, Dense Retrieval and Ranking Models
Hybrid Retrieval (Sparse + Dense + RAG)
Vector Databases and Semantic Indexing
Conversational Search and Interactive IR
Vision Transformers and Modern CV Architectures
Neural Fields (NeRFs, Gaussian Splatting) and 3D Reconstruction
Embodied AI, Robot LLM Integration and VLA Models
Multimodal Fusion and Cross Modal Reasoning
LLM Jailbreak Prevention, Watermarking and Model Provenance

Paper Submission

Authors are invited to submit papers through the conference Submission System by July 11, 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 the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

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

Important Dates

Submission Deadline

July 11, 2026

Authors Notification

July 31, 2026

Registration & camera - Ready Paper Due

August 08, 2026

Other Conferences

Past Events

Invited Talk

Proceedings

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library

Welcome to NLAIM 2026

3^rd International Conference on NLP, Artificial Intelligence, Machine Learning and
Applications (NLAIM 2026)