7th International Conference on Machine Learning Techniques and NLP (MLNLP 2026)

Scope & Topics

7^th International Conference on Machine Learning Techniques and NLP (MLNLP 2026) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning Techniques and NLP.

All submissions must describe original research, not published or currently under review for another conference or journal. Topics of interest include but are not limited to the following.

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

Large Language Models and Foundation Model Pre Training
Instruction Tuning, Alignment, RLHF and Policy Optimization
LLM Safety, Red Teaming and Hallucination Mitigation
Efficient NLP: Distillation, Quantization and Sparse Models
On Device LLMs, Tiny Language Models and Mobile NLP
Long Context Models, Memory Systems and Retrieval Enhanced LLMs
Vector Databases, Neural Indexing and Semantic Search
Retrieval Augmented Generation (RAG) and Hybrid Retrieval Models
Agentic NLP Systems, Language Agents and Multi Agent Collaboration
Symbolic Neural Reasoning, Tool Use and API Augmented NLP
Multilingual NLP, Cross Lingual Transfer and Low Resource Learning
Machine Translation: Neural, Multimodal and Low Resource
Speech Recognition, Speech Synthesis and Spoken Language Understanding
Dialog Systems, Conversational AI and Task Oriented Agents
Information Extraction: NER, Relation and Event Extraction
Semantic Processing, Semantic Parsing and Meaning Representation
Parsing, Grammar Formalisms and Syntactic Processing
Text Generation, Summarization, Paraphrasing and Entailment
Neural Networks, Deep Learning and Transformer Architectures
Multimodal NLP: Vision Language, Audio Language and Video Language Models
Knowledge Graphs, Ontologies and Structured Knowledge Integration
Synthetic Data Generation and LLM Based Data Augmentation
Continual Learning, Lifelong NLP and Memory Augmented Transformers
NLP for Robotics, Embodied AI and Language Conditioned Control
Bias, Fairness, Ethics and Responsible NLP
Adversarial NLP, Robustness and Security
Domain Specific NLP: Biomedical, Legal, Financial and Scientific Text
LLM Specific Evaluation Metrics, Benchmarking and Reproducibility
Emerging Trends in Machine Learning and NLP

Paper Submission

Authors are invited to submit papers through the conference Submission System by September 26, 2026(Final Call) .

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).

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