The topics of interest for submission include, but are not limited to:

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-a-loop / Active learning

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 maintainence
· 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

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