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Kenton Murray

Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets
X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation
Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models
Condensing Multilingual Knowledge with Lightweight Language-Specific Modules
Efficiently Harnessing Parameter Importance for Better Training
Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity
The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains
Por Qué Não Utiliser Alla Språk? Mixed Training with Gradient Optimization in Few-Shot Cross-Lingual Transfer
BERT, mBERT, BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction
Gradual Fine-Tuning for Low-Resource Domain Adaptation