Workshops

Overview
We invite submissions to IntelliNLP-EMENA 2026, a workshop on Intelligent Language Systems, held in conjunction with INTELSYST 2026, a premier EMENA conference series connecting researchers and practitioners in Machine Learning and Intelligent Systems.
Scope and Motivation
Recent advances in large language models (LLMs) and intelligent systems are transforming NLP, enabling new capabilities in reasoning, interaction, and deployment. At the same time, major challenges remain in trustworthiness, efficiency, multilinguality, and real-world impact. This workshop provides a focused forum for advancing research on intelligent language systems, encouraging contributions that combine technical innovation, multilingual perspectives, and practical applications. The workshop aims to provide a supportive and interactive environment, encouraging participation from students, early-career and emerging researchers, and researchers in R&D.
Topics of Interest
We invite submissions on intelligent language systems, with emphasis on trustworthy, efficient, and multilingual NLP.

🌍 Multilinguality and Low-Resource NLP (Special Focus)

● NLP for underrepresented languages and dialects
● Global South NLP and language technologies
● Low-resource and extremely low-resource methods (few-shot, zero-shot, transfer learning)
● Datasets, benchmarks, and resource creation for low-resource languages
● Code-switching and language variation in multilingual communities
● Multilingual modeling and language diversity
● Machine translation and cross-lingual transfer
● Evaluation methodologies for multilingual settings

🧠Intelligent Language Models and Reasoning

● Large Language Models (LLMs) and foundation models
● Safety, alignment, and controllability in LLMs
● AI/LLM agents and autonomous systems
● Retrieval-augmented and knowledge-grounded models
● Mathematical, symbolic, and logical reasoning in NLP
● Code models and language–program interaction
● Generalization and transfer learning

⚙️ Efficient, Transparent, and Responsible NLP

● LLM efficiency (distillation, pruning, quantization)
● Interpretability, model editing, and explainability
● Transparency and auditability
● Ethics, bias, and fairness
● Benchmarking, evaluation, and reproducibility

🤝 Interactive and Human-Centered NLP

● Dialogue and interactive systems
● Human–AI interaction and cooperation
● Agent-based and tool-augmented NLP
● Personalization and inclusive NLP technologies

🧾 Language Understanding and Generation

● Natural language generation
● Question answering
● Summarization
● Information extraction and retrieval
● Sentiment analysis, stylistic analysis, and argument mining
● Discourse, pragmatics, and reasoning
● Syntax, parsing, and hierarchical modeling
● Semantics and textual inference

🌐 Multimodal and Speech Processing

● Multimodality and grounded language understanding
● Speech processing and spoken language understanding
● Cross-modal reasoning and multimodal LLMs

🚀 Applications and Impact

● NLP applications across domains (health, education, governance, etc.)
● Computational social science and NLP for social good
● NLP for Sustainable Development Goals (SDGs)

Submission
We invite full paper submissions describing original and unpublished work.
● Maximum length: 8 pages + unlimited references
● Language: English
● Format: Springer
● Submissions must be anonymous (double-blind review)

Submissions may include early-stage research, novel ideas, or work in progress, provided they clearly describe the objectives and approach. We particularly welcome contributions from students, early-career and emerging researchers, and researchers in R&D.

Review Process and Presentation
All submissions will be double-blind reviewed by at least two Program Committee members.

Based on evaluation:
● Papers may be accepted for oral or poster presentation

Presentation format:
● Oral: 15 min + 5 min discussion
● Poster: A1/A2 format + 5 min pitch

Multiple Submission Policy Submissions must:
● Not be under review elsewhere
● Not overlap with published or concurrent work
● Comply with originality and ethical standards

Publication
Accepted papers will be included in the INTELSYST 2026 Springer proceedings, indexed in Scopus and Web of Science (subject to approval).
Awards
To recognize outstanding contributions, the workshop will present:
● Best Paper Award
● Best Student / Early-Career Paper Award
Eligibility for the Student / Early-Career Award requires that the first author is a student or an early-career researcher.
Potential Invited Speakers

Important Dates
● Submission Deadline: 30 august 2026
● Notification: 15 september 2026
● Camera-ready: 25 september
● Workshop: 24 october 2026
Submission Site
https://cmt3.research.microsoft.com/INTELSYST2026
choose track Workshop Intel-NLP2026: Intelligent Language Systems in the Era of LLMs