2026 3rd International Conference on Artificial Intelligence and Natural Language Processing (AINLP 2026) will be held on July 3-5, 2026, in Fuzhou, China.

𝗖𝗼𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗪𝗲𝗯𝘀𝗶𝘁𝗲: https://ais.cn/u/yiuMra

---𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝗽𝗮𝗽𝗲𝗿𝘀---
The topics of interest include, but are not limited to:
Track1: Machine Learning for NLP
Graph-based methods
Knowledge-augmented methods
Multi-task learning
Self-supervised learning
Contrastive learning
Generation model
Data augmentation
Word embedding
Structured prediction
Transfer learning / domain adaptation
Representation learning
Generalization
Model compression methods
Parameter-efficient finetuning
Few-shot learning
Reinforcement learning
Optimization methods
Continual learning
Adversarial training
Meta learning
Causality
Graphical models
Human-in-the-loop / Active learning

Track 2: NLP Applications
Educational applications, GEC, essay scoring
Hate speech detection
Multimodal applications
Code generation and understanding
Fact checking, rumour / misinformation detection
Healthcare applications, clinical NLP
Financial/business NLP
Legal NLP
Mathematical NLP
Security/privacy
Historical NLP
Knowledge graph

Track 3: Language Generation
Human evaluation
Automatic evaluation
Multilingualism
Efficient models
Few-shot generation
Analysis
Domain adaptation
Data-to-text generation
Text-to-text generation
Inference methods
Model architectures
Retrieval-augmented generation
Interactive and collaborative generation

Track 4: Machine Translation
Automatic evaluation
Biases
Domain adaptation
Efficient inference for MT
Efficient MT training
Few-/Zero-shot MT
Human evaluation
Interactive MT
MT deployment and maintenance
MT theory
Modeling
Multilingual MT
Multimodality
Online adaptation for MT
Parallel decoding/non-autoregressive MT
Pre-training for MT
Scaling
Speech translation
Code-switching translation
Vocabulary learning

Track 5: Interpretability and Analysis of Models in NLP
Adversarial attacks/examples/training
Calibration/uncertainty
Counterfactual/contrastive explanations
Data influence
Data shortcuts/artifacts
Explanation faithfulness
Feature attribution
Free-text/natural language explanation
Hardness of samples
Hierarchical & concept explanations
Human-subject application-grounded evaluations
Knowledge tracing/discovering/inducing
Probing
Robustness
Topic modeling

---𝗣𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻---
All papers, both invited and contributed, will be reviewed by two or three experts from the committees. After a careful reviewing process, all accepted papers of AINLP 2026 will be published in Conference Proceedings, which will be indexed by EI Compendex, Scopus.

---𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗗𝗮𝘁𝗲𝘀---
Full Paper Submission Date: May 3, 2026
Registration Deadline: June 18, 2026
Final Paper Submission Date: June 3, 2026
Conference Dates: July 3-5, 2026

---𝗣𝗮𝗽𝗲𝗿 𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻---
Please send the full paper(word+pdf) to Submission System:
https://ais.cn/u/yiuMra