Call For Papers

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