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ID: instructiontuning
Related Papers
Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization
AbstractTraining language models to learn from human instructions for zero-shot cross-task generalization has attracted much attention in NLP communities. Recently, instruction tuning (IT), which fine-tunes a pre-trained language model on …...
MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning
AbstractInstruction tuning, a new learning paradigm that fine-tunes pre-trained language models on tasks specified through instructions, has shown promising zero-shot performance on various natural language processing tasks. However, it has …...
Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor
AbstractInstruction tuning enables pretrained language models to perform new tasks from inference-time natural language descriptions. These approaches rely on vast amounts of human supervision in the form of crowdsourced datasets …...