call for papers - NLCA 2026
7th International Conference on Natural Language Computing Advances (NLCA 2026)
October 24 ~ 25, 2026, Vienna, Austria
https://cbiot2026.org/nlca/index
Scope
7th International Conference on Natural Language Computing Advances (NLCA 2026)
provides a premier global forum for presenting and exchanging cutting edge research, theoretical
insights, advanced methodologies and impactful applications across the rapidly evolving field of
Natural Language Processing. As language technologies continue to transform scientific
discovery, industry innovation and human–computer interaction, NLCA 2026 brings together
leading researchers, practitioners and technologists to share breakthroughs, discuss emerging
challenges and explore the future of intelligent language systems.
NLCA 2026 welcomes substantial contributions in both foundational and frontier areas of NLP,
including large language models, LLM reasoning and tool use, retrieval augmented generation,
multimodal NLP, dialogue systems and LLM agents, machine translation and multilingual NLP,
information extraction, semantic processing, speech and audio language models, efficient NLP,
continual and streaming NLP, scientific NLP and responsible, explainable and secure NLP. The
conference also embraces emerging domains such as synthetic data generation, dataset
governance, LLM safety, hallucination mitigation, language conditioned robotics and NLP for
misinformation and societal impact.
Authors are invited to submit high quality articles presenting research results, experimental
studies, survey papers, industrial experiences and novel applications that highlight significant
progress in Natural Language Processing and its rapidly expanding ecosystem of intelligent
language technologies.
Topics of interest include, but are not limited to, the following
Large Language Models and Foundation Models
LLM Reasoning, Planning and Tool Use
Instruction Tuning, Alignment and RLHF
Prompt Engineering and In Context Learning
Retrieval Augmented Generation (RAG) and Long Context Retrieval
Neural Search, Vector Databases and LLM Enhanced Ranking
Multimodal NLP (Vision Language, Audio Language, Video Language)
Embodied NLP and Language Conditioned Robotics
Dialogue Systems, Conversational AI and LLM Agents
Machine Translation, Multilingual NLP and Cultural Adaptation
Information Extraction, Text Mining and Knowledge Graphs
Semantic Processing, NLI and Paraphrase/Entailment
Synthetic Data Generation and Auto Labeling
Efficient NLP: LoRA, MoE, Distillation and Edge Optimized LLMs
Continual, Streaming and Adaptive NLP
Speech Recognition, Synthesis and Audio LLMs
NLP for Healthcare, Finance, Legal and Scientific Discovery
NLP for Social Media, Misinformation and Digital Humanities
Explainable NLP, Bias/Fairness and Ethical AI
Robust NLP, Adversarial Attacks and Hallucination Mitigation
Privacy Preserving NLP and Federated Learning
LLM Benchmarking, Evaluation and Human in the Loop Testing
Paper Submission
Authors are invited to submit papers through the conference Submission System by August 15,
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 NLCA 2026, after further revisions, will be published in the special issue
of the following journal.
International Journal on Natural Language Computing (IJNLC)
International Journal on Information Theory (IJIT)
International Journal on Computational Science & Applications (IJCSA)
Machine Learning and Applications: An International Journal (MLAIJ)
International Journal of Web & Semantic Technology (IJWesT)
Important Dates
Submission Deadline: August 15, 2026
Authors Notification: September 30, 2026
Registration & camera - Ready Paper Due: October 07, 2026
Contact Us
Here's where you can reach us: nlca@cbiot2026.org (or) nlcaconfe@gmail.co
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