Introduces MTO framework for matching tasks to pre-training objectives in encoder-decoder models, achieving over 120% performance gains in few-shot commonsense tasks.
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Matching Tasks to Objectives: Fine-Tuning and Prompt-Tuning Strategies for Encoder-Decoder Pre-trained Language Models
Introduces MTO framework for matching tasks to pre-training objectives in encoder-decoder models, achieving over 120% performance gains in few-shot commonsense tasks.